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PythonCAD DS1-R36
PythonCAD is a CAD package written, surprisingly enough, in Python. more>>
PythonCAD is a CAD package written, surprisingly enough, in Python. PythonCAD project aims to produce a scriptable, open-source, easy to use CAD package for Linux, the various flavors of BSD Unix, commercial Unix, and other platforms to which someone who is interested ports the program. Work began on PythonCAD in July, 2002, and the first public release was on December 21, 2002.
The twenty-fifth release of PythonCAD was made available May 26, 2005. This release fixes several compatibility issues found when running PythonCAD on PyGTK releseses prior than 2.4. Also, numerous changes to the event handling code have been applied to make the code better conform to GTK+/PyGTK conventions. Additionally a number of bug fixes and code improvements appear in this release as well.
Between the sixteenth and seventeenth releases of the program, the code was moved around internally to better cooperate with other Python programs. Unfortunately the Cocoa front-end code has suffered since then due to lack of maintainence and is currently not functional. Releases after the seventeenth release have attempted to improve the situation, but to no avail. A developer or team of developers running Mac OS X is needed to bring the Cocoa code into a usable state.
<<lessThe twenty-fifth release of PythonCAD was made available May 26, 2005. This release fixes several compatibility issues found when running PythonCAD on PyGTK releseses prior than 2.4. Also, numerous changes to the event handling code have been applied to make the code better conform to GTK+/PyGTK conventions. Additionally a number of bug fixes and code improvements appear in this release as well.
Between the sixteenth and seventeenth releases of the program, the code was moved around internally to better cooperate with other Python programs. Unfortunately the Cocoa front-end code has suffered since then due to lack of maintainence and is currently not functional. Releases after the seventeenth release have attempted to improve the situation, but to no avail. A developer or team of developers running Mac OS X is needed to bring the Cocoa code into a usable state.
Download (0.42MB)
Added: 2007-06-05 License: GPL (GNU General Public License) Price:
878 downloads
Klusters 1.6.1
Klusters is a powerful and easy-to-use graphical application for spike sorting of extracellular neuronal recordings. more>>
Klusters is a powerful and easy-to-use graphical application for spike sorting of extracellular neuronal recordings.
While the accuracy and speed of spike sorting is dramatically improved by automatic classification algorithms, the results of automatic algorithms must be examined manually to ensure that the assigned clusters correspond to single neurons. Klusters has been carefully designed to make this process as fast and error-free as possible.
Main features:
- Multiple type of views including Cluster View displaying spikes in the PCA feature space, Waveform View and Correlation View displaying auto-and cross-correlograms.
- Cluster colors making it easy to quickly identify a given cluster across different views.
- Time trajectory display to identify possible electrode drift.
- "Grouping Assistant" to suggest which pairs of clusters may result from overclustering of a single neuron.
- "Recluster" feature to automatically split clusters that may be several distinct neurons (underclustering), using an external classification program.
- Multiple displays open at once, which can be useful to examine different subsets of the data in parallel.
- Multiple undo and redo on the last actions.
- Print and export to postcript and pdf.
- Ergonomic user interface for maximum speed and reliability.
Enhancements:
- The source archive klusters-1.4.tar.gz released on July 08 did not compiled on certain distributions, this is now corrected.
- If you have encounter this problem, please download a copy of the corrected archive and try again. [This does not affect the debian package].
- In addition a layout bug was corrected in the documentation. [This affects both the source archive and the debian package].
<<lessWhile the accuracy and speed of spike sorting is dramatically improved by automatic classification algorithms, the results of automatic algorithms must be examined manually to ensure that the assigned clusters correspond to single neurons. Klusters has been carefully designed to make this process as fast and error-free as possible.
Main features:
- Multiple type of views including Cluster View displaying spikes in the PCA feature space, Waveform View and Correlation View displaying auto-and cross-correlograms.
- Cluster colors making it easy to quickly identify a given cluster across different views.
- Time trajectory display to identify possible electrode drift.
- "Grouping Assistant" to suggest which pairs of clusters may result from overclustering of a single neuron.
- "Recluster" feature to automatically split clusters that may be several distinct neurons (underclustering), using an external classification program.
- Multiple displays open at once, which can be useful to examine different subsets of the data in parallel.
- Multiple undo and redo on the last actions.
- Print and export to postcript and pdf.
- Ergonomic user interface for maximum speed and reliability.
Enhancements:
- The source archive klusters-1.4.tar.gz released on July 08 did not compiled on certain distributions, this is now corrected.
- If you have encounter this problem, please download a copy of the corrected archive and try again. [This does not affect the debian package].
- In addition a layout bug was corrected in the documentation. [This affects both the source archive and the debian package].
Download (0.70MB)
Added: 2005-06-07 License: GPL (GNU General Public License) Price:
1602 downloads
Rocks Cluster 4.3
Rocks Cluster Tool Kit is a Turnkey Linux COTS Clusters for x86 and IA64. more>>
Rocks Cluster is a complete "cluster on a CD" solution for x86 and IA64 Red Hat Linux COTS clusters.
Building a Rocks cluster does not require any experience in clustering, yet a cluster architect will find a flexible and programmatic way to redesign the entire software stack just below the surface (appropriately hidden from the majority of users).
Although Rocks includes the tools expected from any clustering software stack (PBS, Maui, GM support, Ganglia, etc), it is unique in its simplicity of installation.
From a hardware component and raw processing power perspective, commodity clusters are phenomenal price/performance compute engines. However, if a scalable ``cluster management strategy is not adopted, the favorable economics of clusters are offset by the additional on-going personnel costs involved to ``care and feed for the machine. The complexity of cluster management (e.g., determining if all nodes have a consistent set of software) often overwhelms part-time cluster administrators, who are usually domain application scientists. When this occurs, machine state is forced to either of two extremes: the cluster is not stable due to configuration problems, or software becomes stale, security holes abound, and known software bugs remain unpatched.
While earlier clustering toolkits expend a great deal of effort (i.e., software) to compare configurations of nodes, Rocks makes complete Operating System (OS) installation on a node the basic management tool. With attention to complete automation of this process, it becomes faster to reinstall all nodes to a known configuration than it is to determine if nodes were out of synchronization in the first place. Unlike a users desktop, the OS on a cluster node is considered to be soft state that can be changed and/or updated rapidly.
This is clearly more heavywieght than the philosophy of configuration management tools [Cfengine] that perform exhaustive examination and parity checking of an installed OS. At first glance, it seems wrong to reinstall the OS when a configuration parameter needs to be changed. Indeed, for a single node this might seem too severe. However, this approach scales exceptionally well, making it a preferred mode for even a modest-sized cluster. Because the OS can be installed from scratch in a short period of time, different (and perhaps incompatible) application-specific configurations can easily be installed on nodes. In addition, this structure insures any upgrade will not interfere with actively running jobs.
One of the key ingredients of Rocks is a robust mechanism to produce customized distributions (with security patches pre-applied) that define the complete set of software for a particular node. A cluster may require several node types including compute nodes, frontend nodes file servers, and monitoring nodes. Each of these roles requires a specialized software set. Within a distribution, different node types are defined with a machine specific Red Hat Kickstart file, made from a Rocks Kickstart Graph.
A Kickstart file is a text-based description of all the software packages and software configuration to be deployed on a node. The Rocks Kickstart Graph is an XML-based tree structure used to define RedHat Kickstart files. By using a graph, Rocks can efficiently define node types without duplicating shared components. Similiar to mammalian species sharing 80% of their genes, Rocks node types share much of their software set. The Rocks Kickstart Graph easily defines the differences between node types without duplicating the description of their similarities. See the Bibliography section for papers that describe the design of this structure in more depth.
By leveraging this installation technology, we can abstract out many of the hardware differences and allow the Kickstart process to autodetect the correct hardware modules to load (e.g., disk subsystem type: SCSI, IDE, integrated RAID adapter; Ethernet interfaces; and high-speed network interfaces). Further, we benefit from the robust and rich support that commercial Linux distributions must have to be viable in todays rapidly advancing marketplace.
Wherever possible, Rocks uses automatic methods to determine configuration differences. Yet, because clusters are unified machines, there are a few services that require ``global knowledge of the machine -- e.g., a listing of all compute nodes for the hosts database and queuing system. Rocks uses an SQL database to store the definitions of these global configurations and then generates database reports to create service-specific configuration files (e.g., DHCP configuration file, /etc/hosts, and PBS nodes file).
Enhancements:
- Rocks v4.3 is released for i386 and x86_64 CPU architectures. New features: Rocks command line - initial release of the Rocks command line which facilitates non-SQL administrative access to the database; PXE First - hosts can now be configured in BIOS with a boot order of CD, PXE, hard disk. Enhancements: based on CentOS 4.5 and all updates as of July 4, 2007; Anaconda installer updated to 10.1.1.63; performance improvement when building torrent files for the Avalanche Installer; database indirects, more flexibility with Rocks variables; Globus updated to gt4.0.4 with web services....
<<lessBuilding a Rocks cluster does not require any experience in clustering, yet a cluster architect will find a flexible and programmatic way to redesign the entire software stack just below the surface (appropriately hidden from the majority of users).
Although Rocks includes the tools expected from any clustering software stack (PBS, Maui, GM support, Ganglia, etc), it is unique in its simplicity of installation.
From a hardware component and raw processing power perspective, commodity clusters are phenomenal price/performance compute engines. However, if a scalable ``cluster management strategy is not adopted, the favorable economics of clusters are offset by the additional on-going personnel costs involved to ``care and feed for the machine. The complexity of cluster management (e.g., determining if all nodes have a consistent set of software) often overwhelms part-time cluster administrators, who are usually domain application scientists. When this occurs, machine state is forced to either of two extremes: the cluster is not stable due to configuration problems, or software becomes stale, security holes abound, and known software bugs remain unpatched.
While earlier clustering toolkits expend a great deal of effort (i.e., software) to compare configurations of nodes, Rocks makes complete Operating System (OS) installation on a node the basic management tool. With attention to complete automation of this process, it becomes faster to reinstall all nodes to a known configuration than it is to determine if nodes were out of synchronization in the first place. Unlike a users desktop, the OS on a cluster node is considered to be soft state that can be changed and/or updated rapidly.
This is clearly more heavywieght than the philosophy of configuration management tools [Cfengine] that perform exhaustive examination and parity checking of an installed OS. At first glance, it seems wrong to reinstall the OS when a configuration parameter needs to be changed. Indeed, for a single node this might seem too severe. However, this approach scales exceptionally well, making it a preferred mode for even a modest-sized cluster. Because the OS can be installed from scratch in a short period of time, different (and perhaps incompatible) application-specific configurations can easily be installed on nodes. In addition, this structure insures any upgrade will not interfere with actively running jobs.
One of the key ingredients of Rocks is a robust mechanism to produce customized distributions (with security patches pre-applied) that define the complete set of software for a particular node. A cluster may require several node types including compute nodes, frontend nodes file servers, and monitoring nodes. Each of these roles requires a specialized software set. Within a distribution, different node types are defined with a machine specific Red Hat Kickstart file, made from a Rocks Kickstart Graph.
A Kickstart file is a text-based description of all the software packages and software configuration to be deployed on a node. The Rocks Kickstart Graph is an XML-based tree structure used to define RedHat Kickstart files. By using a graph, Rocks can efficiently define node types without duplicating shared components. Similiar to mammalian species sharing 80% of their genes, Rocks node types share much of their software set. The Rocks Kickstart Graph easily defines the differences between node types without duplicating the description of their similarities. See the Bibliography section for papers that describe the design of this structure in more depth.
By leveraging this installation technology, we can abstract out many of the hardware differences and allow the Kickstart process to autodetect the correct hardware modules to load (e.g., disk subsystem type: SCSI, IDE, integrated RAID adapter; Ethernet interfaces; and high-speed network interfaces). Further, we benefit from the robust and rich support that commercial Linux distributions must have to be viable in todays rapidly advancing marketplace.
Wherever possible, Rocks uses automatic methods to determine configuration differences. Yet, because clusters are unified machines, there are a few services that require ``global knowledge of the machine -- e.g., a listing of all compute nodes for the hosts database and queuing system. Rocks uses an SQL database to store the definitions of these global configurations and then generates database reports to create service-specific configuration files (e.g., DHCP configuration file, /etc/hosts, and PBS nodes file).
Enhancements:
- Rocks v4.3 is released for i386 and x86_64 CPU architectures. New features: Rocks command line - initial release of the Rocks command line which facilitates non-SQL administrative access to the database; PXE First - hosts can now be configured in BIOS with a boot order of CD, PXE, hard disk. Enhancements: based on CentOS 4.5 and all updates as of July 4, 2007; Anaconda installer updated to 10.1.1.63; performance improvement when building torrent files for the Avalanche Installer; database indirects, more flexibility with Rocks variables; Globus updated to gt4.0.4 with web services....
Download (601MB)
Added: 2007-07-07 License: BSD License Price:
511 downloads
ferris-fnews 0.1.1
ferris-fnews provides a RSS news feed aggregator and archiver. more>>
ferris-fnews provides a RSS news feed aggregator and archiver.
ferris-fnews is an RSS news feed aggregator and archiver. It can poll RSS news feeds and make them available as a filesystem.
In non technical terms libferris makes the file system and other hierarchical storage systems easier to use. For the geeks out there, libferris is a virtual file system (VFS) that runs in the user address space. The FAQ contains entries related to installation, configuration and the usage of libferris.
As of July 2005 libferris can mount many interesting things ranging from a filesystem from your local Linux kernel through to LDAP, Evolution, PostgreSQL, dbXML, and RDF. To get an impression of the current capabilities of libferris mounting see the plugins/context directory of the lastest release. New things to mount are always being added :)
Other than mounting things as a filesystem, the other core concept of libferris is extraction of interesting metadata from your libferris filesystems. This means that simple things like width and height of an image file become first class metadata citizens along with a files size and modification time. The limits on what metadata is available extend far beyond image metadata to include XMP, EXIF, music ID tags, geospatial tags, rpm metadata, SELinux integration, partially ordered emblem categories and arbitrary personal RDF stores of metadata. Though some consider the last point of purely academic interest the end result is that you can add metadata to *all* libferris objects even those you only have read access too, for example, you can attach emblems to this website just as you would a normal file. The metadata interface gives all metadata from file size to digital signature status information equal standing. As such you can sort a directory by any metadata just as easily as you would ls -Sh to sort by file size. Sorting on multiple metadata values is also supported in libferris, you can easily sort your files by mimetype, then image width, then modification time with all three pieces of metadata contributing to the final directory ordering.
Enhancements:
- uses async IO by default for fetching feeds.
- Added support for conditional fetching based on HTTP If-Modified-Since
<<lessferris-fnews is an RSS news feed aggregator and archiver. It can poll RSS news feeds and make them available as a filesystem.
In non technical terms libferris makes the file system and other hierarchical storage systems easier to use. For the geeks out there, libferris is a virtual file system (VFS) that runs in the user address space. The FAQ contains entries related to installation, configuration and the usage of libferris.
As of July 2005 libferris can mount many interesting things ranging from a filesystem from your local Linux kernel through to LDAP, Evolution, PostgreSQL, dbXML, and RDF. To get an impression of the current capabilities of libferris mounting see the plugins/context directory of the lastest release. New things to mount are always being added :)
Other than mounting things as a filesystem, the other core concept of libferris is extraction of interesting metadata from your libferris filesystems. This means that simple things like width and height of an image file become first class metadata citizens along with a files size and modification time. The limits on what metadata is available extend far beyond image metadata to include XMP, EXIF, music ID tags, geospatial tags, rpm metadata, SELinux integration, partially ordered emblem categories and arbitrary personal RDF stores of metadata. Though some consider the last point of purely academic interest the end result is that you can add metadata to *all* libferris objects even those you only have read access too, for example, you can attach emblems to this website just as you would a normal file. The metadata interface gives all metadata from file size to digital signature status information equal standing. As such you can sort a directory by any metadata just as easily as you would ls -Sh to sort by file size. Sorting on multiple metadata values is also supported in libferris, you can easily sort your files by mimetype, then image width, then modification time with all three pieces of metadata contributing to the final directory ordering.
Enhancements:
- uses async IO by default for fetching feeds.
- Added support for conditional fetching based on HTTP If-Modified-Since
Download (0.16MB)
Added: 2007-04-03 License: GPL (GNU General Public License) Price:
936 downloads
Jikes 1.22
Jikes is a Java compiler that translates Java source into bytecoded instruction sets more>>
JikesTM is a compiler that translates JavaTM source files as defined in The Java Language Specification into the bytecoded instruction set and binary format defined in The Java Virtual Machine Specification.
You may wonder why the world needs another Java compiler, considering that Sun provides javac free with its SDK. Jikes has five advantages that make it a valuable contribution to the Java community:
* Open source. Jikes is OSI Certified Open Source Software. OSI Certified is a certification mark of the Open Source Initiative.
* Strictly Java compatible. Jikes strives to adhere to both The Java Language Specification and The Java Virtual Machine Specification as tightly as possible, and does not support subsets, supersets, or other variations of the language. The FAQ describes some of the side effects of this strict language conformance.
* High performance. Jikes is a high performance compiler, making it ideal for use with larger projects.
* Dependency analysis. Jikes performs a dependency analysis on your code that provides two very useful features: Incremental builds and makefile generation.
* Constructive Assistance. Jikes strives to help the programmer write better code in two key ways. Jikes has always strived to provide clear error and warning text to assist the programmer in understanding problems, and now with release 1.19 Jikes helps point out common programming mistakes as documented in Effective Java.
Abridged from a FAQ entry which was adapted from some material by Lou Grinzo for an article he wrote.
The fact that Jikes is a high-performance, highly compatible Java compiler that can be used on almost any computing platform makes it an interesting program and worth investigating for almost any Java programmer. But Jikes is also notable because it lies at the center of two events: the adoption of open source philosophy and practice by large corporations, and the continued growth of Java for Linux.
Its worth pointing out that Jikes is not, and is not intended to be, a complete development environment -- it is simply a command line compiler. It should not be considered a replacement for more complete tools, such as Source Navigator or IBMs VisualAge for Java which provide sophisticated graphical IDEs (Integrated Development Environments).
The Jikes compiler was released in binary form in April 1997 on the IBM alphaWorks site. Jikes for Linux was released on 15 July 1998. The response was overwhelming -- Jikes had more downloads in the three months after the announcement than in the fifteen months before the announcement.
Release of Jikes for Linux was soon followed by requests to open up the source. Many notes and comments from users suggested this would be a good idea. The source was released under a liberal license in December 1998 to make a very visible demonstration of IBMs commitment to open standards and to Java Technology, to make Jikes more reliable and accessible, to encourage more widespread use of Java Technology, to encourage standardization of Java Technology, and to gain some experience actually running an open source project. This marked the start of one of IBMs first efforts in the open source arena.
The original alphaWorks version of Jikes was written by Philippe Charles and Dave Shields of the IBM T. J. Watson Research Center. Since the release of the source they have continued to work on the compiler as contributors; however recently have officially been moved on to other projects within IBM. Today there are no IBMers who work on Jikes as part of their job description. Jikes survives today soley based on the free time contributions of members of the open source community.
The source code is available under IBMs Public License, which has been approved by the OSI (Open Source Initiative) as a fully certified open source license. The project provides access to the complete CVS development tree, which includes not only Jikes, but also the source for the Jacks Test Suite and the Jikes Parser Generator used to build Jikes. Jikes is included in many Open Source Operating Systems. The Jacks Test Suite is a replacement for the Jikestst package.
<<lessYou may wonder why the world needs another Java compiler, considering that Sun provides javac free with its SDK. Jikes has five advantages that make it a valuable contribution to the Java community:
* Open source. Jikes is OSI Certified Open Source Software. OSI Certified is a certification mark of the Open Source Initiative.
* Strictly Java compatible. Jikes strives to adhere to both The Java Language Specification and The Java Virtual Machine Specification as tightly as possible, and does not support subsets, supersets, or other variations of the language. The FAQ describes some of the side effects of this strict language conformance.
* High performance. Jikes is a high performance compiler, making it ideal for use with larger projects.
* Dependency analysis. Jikes performs a dependency analysis on your code that provides two very useful features: Incremental builds and makefile generation.
* Constructive Assistance. Jikes strives to help the programmer write better code in two key ways. Jikes has always strived to provide clear error and warning text to assist the programmer in understanding problems, and now with release 1.19 Jikes helps point out common programming mistakes as documented in Effective Java.
Abridged from a FAQ entry which was adapted from some material by Lou Grinzo for an article he wrote.
The fact that Jikes is a high-performance, highly compatible Java compiler that can be used on almost any computing platform makes it an interesting program and worth investigating for almost any Java programmer. But Jikes is also notable because it lies at the center of two events: the adoption of open source philosophy and practice by large corporations, and the continued growth of Java for Linux.
Its worth pointing out that Jikes is not, and is not intended to be, a complete development environment -- it is simply a command line compiler. It should not be considered a replacement for more complete tools, such as Source Navigator or IBMs VisualAge for Java which provide sophisticated graphical IDEs (Integrated Development Environments).
The Jikes compiler was released in binary form in April 1997 on the IBM alphaWorks site. Jikes for Linux was released on 15 July 1998. The response was overwhelming -- Jikes had more downloads in the three months after the announcement than in the fifteen months before the announcement.
Release of Jikes for Linux was soon followed by requests to open up the source. Many notes and comments from users suggested this would be a good idea. The source was released under a liberal license in December 1998 to make a very visible demonstration of IBMs commitment to open standards and to Java Technology, to make Jikes more reliable and accessible, to encourage more widespread use of Java Technology, to encourage standardization of Java Technology, and to gain some experience actually running an open source project. This marked the start of one of IBMs first efforts in the open source arena.
The original alphaWorks version of Jikes was written by Philippe Charles and Dave Shields of the IBM T. J. Watson Research Center. Since the release of the source they have continued to work on the compiler as contributors; however recently have officially been moved on to other projects within IBM. Today there are no IBMers who work on Jikes as part of their job description. Jikes survives today soley based on the free time contributions of members of the open source community.
The source code is available under IBMs Public License, which has been approved by the OSI (Open Source Initiative) as a fully certified open source license. The project provides access to the complete CVS development tree, which includes not only Jikes, but also the source for the Jacks Test Suite and the Jikes Parser Generator used to build Jikes. Jikes is included in many Open Source Operating Systems. The Jacks Test Suite is a replacement for the Jikestst package.
Download (0.84MB)
Added: 2005-04-18 License: IBM Public License Price:
1661 downloads
Mr. Persister 4.0.0
Mr. Persister is a simple, small, object relational mapping API capable of reading Java objects. more>>
Mr. Persister is a simple, small, object relational mapping API capable of reading Java objects from, and writing Java objects to relational databases. It was first released july 2004.
Main features:
- Fast! (Faster than Hibernate)
- Read objects of any size in just 3-5 lines of code.
- Automatic and manual mapping of objects to database tables.
- No config files required.
- SQL as query language.
- Automatic connection and transaction management
- (via DAO commands).
- Automatic connection and transaction management
- (via connection and transaction scoping).
- Automatic SQL generation for most trivial tasks.
- Batch updates of multiple objects.
- Compound primary key support.
- Partial object reading and writing.
- Read Filters.
- Simplifies trivial JDBC tasks.
- Interleave custom JDBC with Mr. Persister operations.
- Fully Pluggable Design.
- Well Tested. 290 unit tests were executed against each supported database.
Enhancements:
- Mr. Persister now uses JDK 5.0.
- Some important bugs have been fixed, and the software now enables annotation-based class-to-database mappings both as an alternative and a supplement to automatic and programmatic mapping.
<<lessMain features:
- Fast! (Faster than Hibernate)
- Read objects of any size in just 3-5 lines of code.
- Automatic and manual mapping of objects to database tables.
- No config files required.
- SQL as query language.
- Automatic connection and transaction management
- (via DAO commands).
- Automatic connection and transaction management
- (via connection and transaction scoping).
- Automatic SQL generation for most trivial tasks.
- Batch updates of multiple objects.
- Compound primary key support.
- Partial object reading and writing.
- Read Filters.
- Simplifies trivial JDBC tasks.
- Interleave custom JDBC with Mr. Persister operations.
- Fully Pluggable Design.
- Well Tested. 290 unit tests were executed against each supported database.
Enhancements:
- Mr. Persister now uses JDK 5.0.
- Some important bugs have been fixed, and the software now enables annotation-based class-to-database mappings both as an alternative and a supplement to automatic and programmatic mapping.
Download (MB)
Added: 2007-08-08 License: The Apache License 2.0 Price:
807 downloads
Firebird Relational Database 2.0 / 2.1 Beta 1
Firebird Relational Database is a cluster of databases through JDBC. more>>
Firebird is a relational database offering many ANSI SQL-99 features that runs on Linux, Windows, and a variety of Unix platforms.
Firebird offers excellent concurrency, high performance, and powerful language support for stored procedures and triggers. Firebird Relational Database has been used in production systems and under a variety of names since 1981.
Firebird is a commercially independent project of C and C++ programmers, technical advisors and supporters developing and enhancing a multi-platform relational database management system based on the source code released by Inprise Corp (now known as Borland Software Corp) on 25 July, 2000 under the InterBase Public License v.1.0.
New code modules added to Firebird are licensed under the Initial Developers Public License. (IDPL). The original modules released by Inprise are licensed under the InterBase Public License v.1.0. Both licences are modified versions of the Mozilla Public License v.1.1.
Installing:
In order to install the firebird version of IB 6.0 you will need to perform the following steps:
1. Get the required packages:
Get the glibc update from RedHat, the one I used
was from ftp://updates.redhat.com/7.0/i386/glibc-2.2-5.i386.rpm
Get ncurses4 from
ftp://carrier.ision.net/pub/ftp.redhat.com/i386/en/RedHat/RPMS/ncurses4-5.0-2.i386.rpm
or another redhat mirror.
Get Firebird from
ftp://firebird.sourceforge.net/pub/firebird/release/FirebirdSS-0.9-1.i386.rpm
2. Prepare the installation:
Log in as root.
Use a plain text console to do this and be sure
that all Gnome desktops are closed.
(One user reported that the Gnome desktop
(apparently ICEwm)
blocked port 3050. I could not reproduce this
here, but it seems that it uses port numbers
that arent assigned in /etc/services for own
purposes)
3. Add localhost.localdomain to /etc/hosts.equiv:
echo localhost.localdomain >>/etc/hosts.equiv
4. Change to the directory where you have placed
the downloaded packages.
5. Install the glibc update:
rpm --install --force glibc-2.2-5.i386.rpm
6. Install libncurses.so.4:
rpm --install --force ncurses4-5.0-2.i386.rpm
7. Install Firebird:
rpm --install --force FirebirdSS-0.9-1.i386.rpm
8. Add /opt/interbase/bin to your path:
You can either change /etc/profile
or do
export PATH=$PATH: /opt/interbase/bin
or
change the profiles in your users home directories
9. Check that all went well:
Read /opt/interbase/SYSDBA.password
to get your SYSDBA password.
gsec -display
should display the list of known users
(SYSDBA only after a fresh install)
isql /opt/interbase/examples/employee.gdb
SQL> SHOW TABLES;
should display all tables from this database
SQL>quit;
<<lessFirebird offers excellent concurrency, high performance, and powerful language support for stored procedures and triggers. Firebird Relational Database has been used in production systems and under a variety of names since 1981.
Firebird is a commercially independent project of C and C++ programmers, technical advisors and supporters developing and enhancing a multi-platform relational database management system based on the source code released by Inprise Corp (now known as Borland Software Corp) on 25 July, 2000 under the InterBase Public License v.1.0.
New code modules added to Firebird are licensed under the Initial Developers Public License. (IDPL). The original modules released by Inprise are licensed under the InterBase Public License v.1.0. Both licences are modified versions of the Mozilla Public License v.1.1.
Installing:
In order to install the firebird version of IB 6.0 you will need to perform the following steps:
1. Get the required packages:
Get the glibc update from RedHat, the one I used
was from ftp://updates.redhat.com/7.0/i386/glibc-2.2-5.i386.rpm
Get ncurses4 from
ftp://carrier.ision.net/pub/ftp.redhat.com/i386/en/RedHat/RPMS/ncurses4-5.0-2.i386.rpm
or another redhat mirror.
Get Firebird from
ftp://firebird.sourceforge.net/pub/firebird/release/FirebirdSS-0.9-1.i386.rpm
2. Prepare the installation:
Log in as root.
Use a plain text console to do this and be sure
that all Gnome desktops are closed.
(One user reported that the Gnome desktop
(apparently ICEwm)
blocked port 3050. I could not reproduce this
here, but it seems that it uses port numbers
that arent assigned in /etc/services for own
purposes)
3. Add localhost.localdomain to /etc/hosts.equiv:
echo localhost.localdomain >>/etc/hosts.equiv
4. Change to the directory where you have placed
the downloaded packages.
5. Install the glibc update:
rpm --install --force glibc-2.2-5.i386.rpm
6. Install libncurses.so.4:
rpm --install --force ncurses4-5.0-2.i386.rpm
7. Install Firebird:
rpm --install --force FirebirdSS-0.9-1.i386.rpm
8. Add /opt/interbase/bin to your path:
You can either change /etc/profile
or do
export PATH=$PATH: /opt/interbase/bin
or
change the profiles in your users home directories
9. Check that all went well:
Read /opt/interbase/SYSDBA.password
to get your SYSDBA password.
gsec -display
should display the list of known users
(SYSDBA only after a fresh install)
isql /opt/interbase/examples/employee.gdb
SQL> SHOW TABLES;
should display all tables from this database
SQL>quit;
Download (1.4MB)
Added: 2007-07-02 License: MPL (Mozilla Public License) Price:
847 downloads
Ice Hockey Manager 0.3
Ice Hockey Manager is a hockey simulator. more>>
Ice Hockey Manager is a hockey simulator which has the ultimate goal of creating a game that offers the most realistic simulation experience possible. Our focus is more on substance than style.
While we want the game to be intuitive, we arent looking to compete with the flashy 3D graphics you might see in games from EA or Sega. Theyve pretty much cornered the market when it comes to pretty graphics.
Were more interested in games that challenge your mind and not your hand-eye coordination. We plan to take hockey simulators (and perhaps sports simulators in general) to places theyve never gone before, The way we see it, the possibilities are limitless, much like real life hockey.
While IHM may not have photorealistic facial features for every player model in the NHL we do strive to create a game that really does make you feel like you are at the helm of your own hockey franchise.
We first started developing IHM in late 2001 and the development team consisted of two members, Bernhard von Gunten and Arik Dasen. The first real release of the game was version 0.1.1 in January of 2002. The game was playable but still very basic, more intended as a framework for future development. In July of 2002, version 0.1.2 was released with many updates to the game but after this release the project essentially went on hiatus until September/October of 2004.
Up until that time the project hadnt garnered much interest from the open source community, either the project was too localized to Swiss-style hockey or it perhaps just didnt get the exposure needed to get people to jump onboard, whatever the reason, IHM seemed to be more of a labor of love than a project that perpetuated itself. Fortunately, in October 2004, development kicked back into gear and all sorts of new and exciting features started to take shape. Some of these features include computer AI, multiplayer-support, trading/transfers, sponsoring/finances, full season/playoffs simulation, etc.
And the IHM team is currently working towards version 0.3, which has been dubbed a "Preview Release" to demonstrate a fully-operational playable game. Will this Preview Release set any kind of standard as far as hockey simulators are concerned? No, not yet. In fact, many elements within the game are still rather simplified, such as in-game simulation (which will begin development post-0.2), but we hope the Preview Release will compel other open source developers to help out with the project as there is still a lot to be done before IHM can be considered a complete game.
This website is intended to both introduce you to the game as well as to encourage you to participate and/or contribute to this project in some way. Whether you are a Java developer, a graphic artist, a beta tester, or something else entirely, we want to hear from you. IHM cant build itself, and while we have invested many hours into the games development we still have our limitations as to what we can achieve, both in time and resources. So if you think you can help out in some way, please let us know. Ideally, you should be a fan of hockey, but thats about the only prerequisite.
Main features:
- Game controller, based on a game calendar.
- Multiuser framework
- League framework (Swiss style leagues implemented, including playoffs and relegations).
- Teams, with statistics and informations.
- Players with attributes, statistics, contracts and informations.
- Simulated matches with generated plays and "radio" output.
- Training
- Injuries
- Contracts framework
- Sponsoring framework, based on contracts
- Financial framework
- Real Impacts (on teams & players)
- Transfers (Swiss style)
- Infrastructure framework (Arena implemented)
- Prospects
- Assistants
- and more ...
Technical stuff:
- Written in 100% pure Java
- Running under Linux and Windows and every other Java 1.5 platform
- Swing GUI
- More than 200 java classes
- More than 30000 lines of code
<<lessWhile we want the game to be intuitive, we arent looking to compete with the flashy 3D graphics you might see in games from EA or Sega. Theyve pretty much cornered the market when it comes to pretty graphics.
Were more interested in games that challenge your mind and not your hand-eye coordination. We plan to take hockey simulators (and perhaps sports simulators in general) to places theyve never gone before, The way we see it, the possibilities are limitless, much like real life hockey.
While IHM may not have photorealistic facial features for every player model in the NHL we do strive to create a game that really does make you feel like you are at the helm of your own hockey franchise.
We first started developing IHM in late 2001 and the development team consisted of two members, Bernhard von Gunten and Arik Dasen. The first real release of the game was version 0.1.1 in January of 2002. The game was playable but still very basic, more intended as a framework for future development. In July of 2002, version 0.1.2 was released with many updates to the game but after this release the project essentially went on hiatus until September/October of 2004.
Up until that time the project hadnt garnered much interest from the open source community, either the project was too localized to Swiss-style hockey or it perhaps just didnt get the exposure needed to get people to jump onboard, whatever the reason, IHM seemed to be more of a labor of love than a project that perpetuated itself. Fortunately, in October 2004, development kicked back into gear and all sorts of new and exciting features started to take shape. Some of these features include computer AI, multiplayer-support, trading/transfers, sponsoring/finances, full season/playoffs simulation, etc.
And the IHM team is currently working towards version 0.3, which has been dubbed a "Preview Release" to demonstrate a fully-operational playable game. Will this Preview Release set any kind of standard as far as hockey simulators are concerned? No, not yet. In fact, many elements within the game are still rather simplified, such as in-game simulation (which will begin development post-0.2), but we hope the Preview Release will compel other open source developers to help out with the project as there is still a lot to be done before IHM can be considered a complete game.
This website is intended to both introduce you to the game as well as to encourage you to participate and/or contribute to this project in some way. Whether you are a Java developer, a graphic artist, a beta tester, or something else entirely, we want to hear from you. IHM cant build itself, and while we have invested many hours into the games development we still have our limitations as to what we can achieve, both in time and resources. So if you think you can help out in some way, please let us know. Ideally, you should be a fan of hockey, but thats about the only prerequisite.
Main features:
- Game controller, based on a game calendar.
- Multiuser framework
- League framework (Swiss style leagues implemented, including playoffs and relegations).
- Teams, with statistics and informations.
- Players with attributes, statistics, contracts and informations.
- Simulated matches with generated plays and "radio" output.
- Training
- Injuries
- Contracts framework
- Sponsoring framework, based on contracts
- Financial framework
- Real Impacts (on teams & players)
- Transfers (Swiss style)
- Infrastructure framework (Arena implemented)
- Prospects
- Assistants
- and more ...
Technical stuff:
- Written in 100% pure Java
- Running under Linux and Windows and every other Java 1.5 platform
- Swing GUI
- More than 200 java classes
- More than 30000 lines of code
Download (0.84MB)
Added: 2006-02-08 License: GPL (GNU General Public License) Price:
1365 downloads
Tk::Month 1.4
Tk::Month is a calendar widget which shows one month at a time. more>>
Tk::Month is a calendar widget which shows one month at a time.
SYNOPSIS
use Tk;
use Tk::Month;
$m = $parent->Month(
-month => July,
-year => 1997,
-title => %b %y,
-command => &press,
-printformat => %e,
-navigation => [0|1],
-includeall => [0|1],
-showall => [0|1],
-first => [0|1|2|3|4|5|6],
)->pack();
$m->configure(
-month => July,
-year => 1997,
-command => &press,
-printformat => %e %B %Y %A,
-navigation => [0|1],
-includeall => [0|1],
-showall => [0|1],
-first => [0|1|2|3|4|5|6],
);
$m->separator();
$m->command(
-label => Label,
-command => &callback,
);
<<lessSYNOPSIS
use Tk;
use Tk::Month;
$m = $parent->Month(
-month => July,
-year => 1997,
-title => %b %y,
-command => &press,
-printformat => %e,
-navigation => [0|1],
-includeall => [0|1],
-showall => [0|1],
-first => [0|1|2|3|4|5|6],
)->pack();
$m->configure(
-month => July,
-year => 1997,
-command => &press,
-printformat => %e %B %Y %A,
-navigation => [0|1],
-includeall => [0|1],
-showall => [0|1],
-first => [0|1|2|3|4|5|6],
);
$m->separator();
$m->command(
-label => Label,
-command => &callback,
);
Download (0.016MB)
Added: 2007-08-02 License: Perl Artistic License Price:
813 downloads
Firebird .NET Data Provider 2.1.0
Firebird .NET Data Provider is an ADO.NET data provider for Firebird. more>>
Firebird .NET Data Provider is an ADO.NET data provider for Firebird. Firebird .NET Data Provider is written in C# and provides a high-performance native implementation of the Firebird API. It also includes an implementation of the Firebird Services API and Firebird array datatype support.
Firebird is a relational database offering many ANSI SQL standard features that runs on Linux, Windows, and a variety of Unix platforms. Firebird offers excellent concurrency, high performance, and powerful language support for stored procedures and triggers. It has been used in production systems, under a variety of names since 1981.
Firebird is a commercially independent project of C and C++ programmers, technical advisors and supporters developing and enhancing a multi-platform relational database management system based on the source code released by Inprise Corp (now known as Borland Software Corp) on 25 July, 2000 under the InterBase Public License v.1.0
<<lessFirebird is a relational database offering many ANSI SQL standard features that runs on Linux, Windows, and a variety of Unix platforms. Firebird offers excellent concurrency, high performance, and powerful language support for stored procedures and triggers. It has been used in production systems, under a variety of names since 1981.
Firebird is a commercially independent project of C and C++ programmers, technical advisors and supporters developing and enhancing a multi-platform relational database management system based on the source code released by Inprise Corp (now known as Borland Software Corp) on 25 July, 2000 under the InterBase Public License v.1.0
Download (0.56MB)
Added: 2007-03-24 License: MPL (Mozilla Public License) Price:
968 downloads
Jikes RVM 2.9.1
Jikes RVM is a virtual machine and runtime environment for Java. more>>
Jikes RVM is a compiler that translates JavaTM source files as defined in The Java Language Specification into the bytecoded instruction set and binary format defined in The Java Virtual Machine Specification.
You may wonder why the world needs another Java compiler, considering that Sun provides javac free with its SDK. Jikes has five advantages that make it a valuable contribution to the Java community: [OSI Certified Logo]
* Open source. Jikes is OSI Certified Open Source Software. OSI Certified is a certification mark of the Open Source Initiative.
* Strictly Java compatible. Jikes strives to adhere to both The Java Language Specification and The Java Virtual Machine Specification as tightly as possible, and does not support subsets, supersets, or other variations of the language. The FAQ describes some of the side effects of this strict language conformance.
* High performance. Jikes is a high performance compiler, making it ideal for use with larger projects.
* Dependency analysis. Jikes performs a dependency analysis on your code that provides two very useful features: Incremental builds and makefile generation.
* Constructive Assistance. Jikes strives to help the programmer write better code in two key ways. Jikes has always strived to provide clear error and warning text to assist the programmer in understanding problems, and now with release 1.19 Jikes helps point out common programming mistakes as documented in Effective Java.
Abridged from a FAQ entry which was adapted from some material by Lou Grinzo for an article he wrote.
The fact that Jikes is a high-performance, highly compatible Java compiler that can be used on almost any computing platform makes it an interesting program and worth investigating for almost any Java programmer. But Jikes is also notable because it lies at the center of two events: the adoption of open source philosophy and practice by large corporations, and the continued growth of Java for Linux.
Its worth pointing out that Jikes is not, and is not intended to be, a complete development environment -- it is simply a command line compiler. It should not be considered a replacement for more complete tools, such as Source Navigator or IBMs VisualAge for Java which provide sophisticated graphical IDEs (Integrated Development Environments).
The Jikes compiler was released in binary form in April 1997 on the IBM alphaWorks site. Jikes for Linux was released on 15 July 1998. The response was overwhelming -- Jikes had more downloads in the three months after the announcement than in the fifteen months before the announcement.
Around the end of March 2002, IBM opened a fledgling community hosting location attached to their developerWorks site with Jikes as a founding member. Approximately 3 years later this server was decommissioned and the most active projects migrated into SourceForge.net hosting options. During those three years Jikes was the #1 most popular project every month, often by a large margin. We approached nearly 250,000 downloads while residing at dw/oss, and had been consistently tallying triple digit daily downloads.
Release of Jikes for Linux was soon followed by requests to open up the source. Many notes and comments from users suggested this would be a good idea. The source was released under a liberal license in December 1998 to make a very visible demonstration of IBMs commitment to open standards and to Java Technology, to make Jikes more reliable and accessible, to encourage more widespread use of Java Technology, to encourage standardization of Java Technology, and to gain some experience actually running an open source project. This marked the start of one of IBMs first efforts in the open source arena.
The original alphaWorks version of Jikes was written by Philippe Charles and Dave Shields of the IBM T. J. Watson Research Center. For awhile after the release of the source they continued to work on the compiler as contributors; however, shortly after the project migrated to developerWorks Open Source Server they were officially moved off onto other projects within IBM. Today there are no IBMers who work on Jikes as part of their job description. Jikes survives today soley based on the free time contributions of members of the open source community.
The source code is available under IBMs Public License, which has been approved by the OSI (Open Source Initiative) as a fully certified open source license. The project provides access to the complete CVS development tree, which includes not only Jikes, but also the source for the Jacks Test Suite and the Jikes Parser Generator used to build Jikes. Jikes is included in many Open Source Operating Systems. The Jacks Test Suite is a replacement for the Jikestst package.
<<lessYou may wonder why the world needs another Java compiler, considering that Sun provides javac free with its SDK. Jikes has five advantages that make it a valuable contribution to the Java community: [OSI Certified Logo]
* Open source. Jikes is OSI Certified Open Source Software. OSI Certified is a certification mark of the Open Source Initiative.
* Strictly Java compatible. Jikes strives to adhere to both The Java Language Specification and The Java Virtual Machine Specification as tightly as possible, and does not support subsets, supersets, or other variations of the language. The FAQ describes some of the side effects of this strict language conformance.
* High performance. Jikes is a high performance compiler, making it ideal for use with larger projects.
* Dependency analysis. Jikes performs a dependency analysis on your code that provides two very useful features: Incremental builds and makefile generation.
* Constructive Assistance. Jikes strives to help the programmer write better code in two key ways. Jikes has always strived to provide clear error and warning text to assist the programmer in understanding problems, and now with release 1.19 Jikes helps point out common programming mistakes as documented in Effective Java.
Abridged from a FAQ entry which was adapted from some material by Lou Grinzo for an article he wrote.
The fact that Jikes is a high-performance, highly compatible Java compiler that can be used on almost any computing platform makes it an interesting program and worth investigating for almost any Java programmer. But Jikes is also notable because it lies at the center of two events: the adoption of open source philosophy and practice by large corporations, and the continued growth of Java for Linux.
Its worth pointing out that Jikes is not, and is not intended to be, a complete development environment -- it is simply a command line compiler. It should not be considered a replacement for more complete tools, such as Source Navigator or IBMs VisualAge for Java which provide sophisticated graphical IDEs (Integrated Development Environments).
The Jikes compiler was released in binary form in April 1997 on the IBM alphaWorks site. Jikes for Linux was released on 15 July 1998. The response was overwhelming -- Jikes had more downloads in the three months after the announcement than in the fifteen months before the announcement.
Around the end of March 2002, IBM opened a fledgling community hosting location attached to their developerWorks site with Jikes as a founding member. Approximately 3 years later this server was decommissioned and the most active projects migrated into SourceForge.net hosting options. During those three years Jikes was the #1 most popular project every month, often by a large margin. We approached nearly 250,000 downloads while residing at dw/oss, and had been consistently tallying triple digit daily downloads.
Release of Jikes for Linux was soon followed by requests to open up the source. Many notes and comments from users suggested this would be a good idea. The source was released under a liberal license in December 1998 to make a very visible demonstration of IBMs commitment to open standards and to Java Technology, to make Jikes more reliable and accessible, to encourage more widespread use of Java Technology, to encourage standardization of Java Technology, and to gain some experience actually running an open source project. This marked the start of one of IBMs first efforts in the open source arena.
The original alphaWorks version of Jikes was written by Philippe Charles and Dave Shields of the IBM T. J. Watson Research Center. For awhile after the release of the source they continued to work on the compiler as contributors; however, shortly after the project migrated to developerWorks Open Source Server they were officially moved off onto other projects within IBM. Today there are no IBMers who work on Jikes as part of their job description. Jikes survives today soley based on the free time contributions of members of the open source community.
The source code is available under IBMs Public License, which has been approved by the OSI (Open Source Initiative) as a fully certified open source license. The project provides access to the complete CVS development tree, which includes not only Jikes, but also the source for the Jacks Test Suite and the Jikes Parser Generator used to build Jikes. Jikes is included in many Open Source Operating Systems. The Jacks Test Suite is a replacement for the Jikestst package.
Download (2.6MB)
Added: 2007-07-03 License: DFSG approved Price:
515 downloads
Americas Army Dedicated Server for Linux 2.5.0 to 2.6.0 Patch
America?s Army is one of the five most popular action games played online. more>>
Americas Army is one of the five most popular action games played online. It provides players with the most authentic military experience available, from exploring the development of Soldiers in individual and collective training to their deployment in simulated missions in the War on Terror.
Americas Army: Special Forces is the follow-up to Americas Army: Operations, which was released on July 4, 2002.
In Americas Army: Special Forces, players attempt to earn Green Beret status by completing individual and collective training missions drawn from the Special Forces Assignment and Selection (SFAS) process.
Players who complete the SFAS process have the opportunity to take on elite Special Forces roles and are qualified to play in multiplayer missions with units ranging from the elite 82d Airborne Division to the 75th Ranger Regiment.
Includes the complete game Americas Army: Operations.
Main features:
- Authentic U.S. Army experience Realistic depiction of the values, units, equipment and career opportunities that make the Army the worlds premier land force continually updated to incorporate new occupations, units, technologies and adventures.
- Realistic roles Including Weapons Specialist (18B), Intelligence (18F), Engineer (18C), Communications (18E) and Combat Medic (18D).
- Challenging Green Beret training Complete training missions drawn from the SFAS process at Fort Bragg. Successfully complete SFAS and advance to Special Forces Qualification Course (Q-Course) missions to explore new Special Forces roles.
- Intense Special Forces action Intense Special Forces action Experience multiplayer missions in simulated combat environments. Take part in missions that span the capabilities of a Special Forces detachment, including unconventional warfare, direct action, surveillance and reconnaissance and Combat Search and Rescue.
- Detailed Special Forces equipment and military hardware Building on the equipment available in Americas Army: Operations, Americas Army: Special Forces adds the M4 Carbine featuring the Picatinny rail mod system for attaching laser-aiming devices and sighting systems; the MP5SD6 Remington 870 shotgun for forced entry; the AT4, a shoulder-fired anti-tank rocket and the BDM, a shoulder-fired bunker demolition munition.
- Accurate Soldier behavior Players are bound by the laws of land warfare, Army values (honor, duty and integrity) and realistic rules of engagement as they navigate challenges in teamwork-based multiplayer force vs. force operations. Mission accomplishment standings are evaluated based on team effort and adherence to a set of values and norms of conduct.
<<lessAmericas Army: Special Forces is the follow-up to Americas Army: Operations, which was released on July 4, 2002.
In Americas Army: Special Forces, players attempt to earn Green Beret status by completing individual and collective training missions drawn from the Special Forces Assignment and Selection (SFAS) process.
Players who complete the SFAS process have the opportunity to take on elite Special Forces roles and are qualified to play in multiplayer missions with units ranging from the elite 82d Airborne Division to the 75th Ranger Regiment.
Includes the complete game Americas Army: Operations.
Main features:
- Authentic U.S. Army experience Realistic depiction of the values, units, equipment and career opportunities that make the Army the worlds premier land force continually updated to incorporate new occupations, units, technologies and adventures.
- Realistic roles Including Weapons Specialist (18B), Intelligence (18F), Engineer (18C), Communications (18E) and Combat Medic (18D).
- Challenging Green Beret training Complete training missions drawn from the SFAS process at Fort Bragg. Successfully complete SFAS and advance to Special Forces Qualification Course (Q-Course) missions to explore new Special Forces roles.
- Intense Special Forces action Intense Special Forces action Experience multiplayer missions in simulated combat environments. Take part in missions that span the capabilities of a Special Forces detachment, including unconventional warfare, direct action, surveillance and reconnaissance and Combat Search and Rescue.
- Detailed Special Forces equipment and military hardware Building on the equipment available in Americas Army: Operations, Americas Army: Special Forces adds the M4 Carbine featuring the Picatinny rail mod system for attaching laser-aiming devices and sighting systems; the MP5SD6 Remington 870 shotgun for forced entry; the AT4, a shoulder-fired anti-tank rocket and the BDM, a shoulder-fired bunker demolition munition.
- Accurate Soldier behavior Players are bound by the laws of land warfare, Army values (honor, duty and integrity) and realistic rules of engagement as they navigate challenges in teamwork-based multiplayer force vs. force operations. Mission accomplishment standings are evaluated based on team effort and adherence to a set of values and norms of conduct.
Download (126MB)
Added: 2006-02-24 License: Freeware Price:
1337 downloads
Hackystat 7.6.1223
Hackystat is a framework for the automated collection and analysis of software. more>>
Hackystat is a framework for the automated collection and analysis of software engineering product and process data.
Hackystat uses sensors to unobtrusively collect data from development environment tools; there is no chronic overhead on developers to collect product and process data. Hackystat does not tie you to a particular tool, environment, process, or application.
Hackystat project is intended to provide in-process project management support.
Hackystat is in its sixth major architectural release family. The first architectural release family, called the "Spike Solution", was used to explore the feasibility of the approach and to evaluate various component technologies (including JATO, XSL, Ant, JUnit/HttpUnit, Tomcat, Cocoon, and SOAP). Work on this Spike Solution architecture lasted eight months, from May to December, 2001.
In December 2001, we began a major re-implementation of the system in order to provide architectural support for design discoveries made with the Spike Solution. This second architectural release family is called the "Framework Architecture", because it implements package and class-level patterns that facilitate extension of the system via inheritance and composition of existing classes. Unfortunately, the Framework architecture required modification of the hackystat source code to implement new sensors and analysis, and only a single configuration of analyses and sensors can be supported in this architecture.
In November, 2002, we began work on the "SDK" (or "kernelized") architecture release family. This third architectural family decomposes the system into two layers. The first layer is a kernel system which implements the core facilities for data definition, storage, transmission and user interface.
Developers build an actual Hackystat installation by combining the framework with a second layer: a set of plug-in extension modules that define the specific sensor data types, tool sensors, and analyses required to support their development procedures. In the SDK architecture, developers can implement new sensors and analyses without modifying the underlying kernel code, and multiple Hackystat installations can be built with different configurations of analyses and sensors.
In June, 2003, we performed a package restructuring that facilitates the development of third layer, or "application" layer systems. This is the fourth architectural release family, called the "Three Layer" architecture.
After only a month of application layer development, we realized that the build process we developed for the second release family would be woefully inadequate to support the three layer architecture, in which multiple components would be combined into a configuration for release.
So, in August, 2003, we released the fifth architectural release family, called the "Component Architecture", along with extensive new build support including the hackydev web site with daily integration builds.
In July, 2004, we released the sixth architectural family, which provides services to support a "telemetry" based approach to software project monitoring and control. This includes various caching mechanisms, as well as the hackyTelemetry package that includes a telemetry specification language and associated APIs. In this architecture, telemetry support becomes a "low level" feature of the system.
Enhancements:
- A new sensor for IntelliJ Idea, enhancements to the Visual Studio sensor, improved support for test driven development inference, and many bugfixes.
<<lessHackystat uses sensors to unobtrusively collect data from development environment tools; there is no chronic overhead on developers to collect product and process data. Hackystat does not tie you to a particular tool, environment, process, or application.
Hackystat project is intended to provide in-process project management support.
Hackystat is in its sixth major architectural release family. The first architectural release family, called the "Spike Solution", was used to explore the feasibility of the approach and to evaluate various component technologies (including JATO, XSL, Ant, JUnit/HttpUnit, Tomcat, Cocoon, and SOAP). Work on this Spike Solution architecture lasted eight months, from May to December, 2001.
In December 2001, we began a major re-implementation of the system in order to provide architectural support for design discoveries made with the Spike Solution. This second architectural release family is called the "Framework Architecture", because it implements package and class-level patterns that facilitate extension of the system via inheritance and composition of existing classes. Unfortunately, the Framework architecture required modification of the hackystat source code to implement new sensors and analysis, and only a single configuration of analyses and sensors can be supported in this architecture.
In November, 2002, we began work on the "SDK" (or "kernelized") architecture release family. This third architectural family decomposes the system into two layers. The first layer is a kernel system which implements the core facilities for data definition, storage, transmission and user interface.
Developers build an actual Hackystat installation by combining the framework with a second layer: a set of plug-in extension modules that define the specific sensor data types, tool sensors, and analyses required to support their development procedures. In the SDK architecture, developers can implement new sensors and analyses without modifying the underlying kernel code, and multiple Hackystat installations can be built with different configurations of analyses and sensors.
In June, 2003, we performed a package restructuring that facilitates the development of third layer, or "application" layer systems. This is the fourth architectural release family, called the "Three Layer" architecture.
After only a month of application layer development, we realized that the build process we developed for the second release family would be woefully inadequate to support the three layer architecture, in which multiple components would be combined into a configuration for release.
So, in August, 2003, we released the fifth architectural release family, called the "Component Architecture", along with extensive new build support including the hackydev web site with daily integration builds.
In July, 2004, we released the sixth architectural family, which provides services to support a "telemetry" based approach to software project monitoring and control. This includes various caching mechanisms, as well as the hackyTelemetry package that includes a telemetry specification language and associated APIs. In this architecture, telemetry support becomes a "low level" feature of the system.
Enhancements:
- A new sensor for IntelliJ Idea, enhancements to the Visual Studio sensor, improved support for test driven development inference, and many bugfixes.
Download (40MB)
Added: 2006-12-24 License: GPL (GNU General Public License) Price:
1034 downloads
Americas Army v2.8.0 (Coalition) with Dedicated Server for Linux
Americas Army is one of the five most popular action games played online. more>>
Americas Army is one of the five most popular action games played online. It provides players with the most authentic military experience available, from exploring the development of Soldiers in individual and collective training to their deployment in simulated missions in the War on Terror.
Americas Army: Special Forces is the follow-up to Americas Army: Operations, which was released on July 4, 2002.
In Americas Army: Special Forces, players attempt to earn Green Beret status by completing individual and collective training missions drawn from the Special Forces Assignment and Selection (SFAS) process.
Players who complete the SFAS process have the opportunity to take on elite Special Forces roles and are qualified to play in multiplayer missions with units ranging from the elite 82d Airborne Division to the 75th Ranger Regiment.
Includes the complete game Americas Army: Operations.
Main features:
- Authentic U.S. Army experience Realistic depiction of the values, units, equipment and career opportunities that make the Army the worlds premier land force continually updated to incorporate new occupations, units, technologies and adventures.
- Realistic roles Including Weapons Specialist (18B), Intelligence (18F), Engineer (18C), Communications (18E) and Combat Medic (18D).
- Challenging Green Beret training Complete training missions drawn from the SFAS process at Fort Bragg. Successfully complete SFAS and advance to Special Forces Qualification Course (Q-Course) missions to explore new Special Forces roles.
- Intense Special Forces action Intense Special Forces action Experience multiplayer missions in simulated combat environments. Take part in missions that span the capabilities of a Special Forces detachment, including unconventional warfare, direct action, surveillance and reconnaissance and Combat Search and Rescue.
- Detailed Special Forces equipment and military hardware Building on the equipment available in Americas Army: Operations, Americas Army: Special Forces adds the M4 Carbine featuring the Picatinny rail mod system for attaching laser-aiming devices and sighting systems; the MP5SD6 Remington 870 shotgun for forced entry; the AT4, a shoulder-fired anti-tank rocket and the BDM, a shoulder-fired bunker demolition munition.
- Accurate Soldier behavior Players are bound by the laws of land warfare, Army values (honor, duty and integrity) and realistic rules of engagement as they navigate challenges in teamwork-based multiplayer force vs. force operations. Mission accomplishment standings are evaluated based on team effort and adherence to a set of values and norms of conduct.
<<lessAmericas Army: Special Forces is the follow-up to Americas Army: Operations, which was released on July 4, 2002.
In Americas Army: Special Forces, players attempt to earn Green Beret status by completing individual and collective training missions drawn from the Special Forces Assignment and Selection (SFAS) process.
Players who complete the SFAS process have the opportunity to take on elite Special Forces roles and are qualified to play in multiplayer missions with units ranging from the elite 82d Airborne Division to the 75th Ranger Regiment.
Includes the complete game Americas Army: Operations.
Main features:
- Authentic U.S. Army experience Realistic depiction of the values, units, equipment and career opportunities that make the Army the worlds premier land force continually updated to incorporate new occupations, units, technologies and adventures.
- Realistic roles Including Weapons Specialist (18B), Intelligence (18F), Engineer (18C), Communications (18E) and Combat Medic (18D).
- Challenging Green Beret training Complete training missions drawn from the SFAS process at Fort Bragg. Successfully complete SFAS and advance to Special Forces Qualification Course (Q-Course) missions to explore new Special Forces roles.
- Intense Special Forces action Intense Special Forces action Experience multiplayer missions in simulated combat environments. Take part in missions that span the capabilities of a Special Forces detachment, including unconventional warfare, direct action, surveillance and reconnaissance and Combat Search and Rescue.
- Detailed Special Forces equipment and military hardware Building on the equipment available in Americas Army: Operations, Americas Army: Special Forces adds the M4 Carbine featuring the Picatinny rail mod system for attaching laser-aiming devices and sighting systems; the MP5SD6 Remington 870 shotgun for forced entry; the AT4, a shoulder-fired anti-tank rocket and the BDM, a shoulder-fired bunker demolition munition.
- Accurate Soldier behavior Players are bound by the laws of land warfare, Army values (honor, duty and integrity) and realistic rules of engagement as they navigate challenges in teamwork-based multiplayer force vs. force operations. Mission accomplishment standings are evaluated based on team effort and adherence to a set of values and norms of conduct.
Download (2100MB)
Added: 2007-01-08 License: Freeware Price:
1019 downloads
Getopt::Clade 0.0.1
Getopt::Clade is a Perl module with command-Line Argument Declaration Engine. more>>
Getopt::Clade is a Perl module with command-Line Argument Declaration Engine.
This module is a placeholder for the real Getopt::Clade module. The module was supposed to be released by July 2005, to support the book "Perl Best Practices". Unfortunately, due to a series of family medical crises, the release of the module has been delayed, probably to early September 2005.
I sincerely apologize for any inconvenience this delay may cause. If you are looking for an alternative Getopt:: module, you may like to consider Getopt::Declare or Getopt::Euclid.
<<lessThis module is a placeholder for the real Getopt::Clade module. The module was supposed to be released by July 2005, to support the book "Perl Best Practices". Unfortunately, due to a series of family medical crises, the release of the module has been delayed, probably to early September 2005.
I sincerely apologize for any inconvenience this delay may cause. If you are looking for an alternative Getopt:: module, you may like to consider Getopt::Declare or Getopt::Euclid.
Download (0.003MB)
Added: 2007-01-13 License: Perl Artistic License Price:
1014 downloads
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