Free system software for linux

FileSystem Investigator is a platform independent file system viewer and data extraction tool. It allows the user to:

* View the contents of the target file system in a forensicly safe manner, bypassing the normal operating system mechanisms.
* Extract files and whole directory trees of files from the source filesystem.

Since it is written in platform-neutral Java, it can be used to examine filesystems outside their native environment. For example, it can be used to view a Linux filesystem while running under Windows.

FileSystem Investigator directly accesses the source disk and processes the data using it own built in filesystem drivers. This ensures that it is safe to use FileSystem Investigator for forensic investigations.

FileSystem Investigator will never write to the source media thus important timestamps are preserved. FileSystem Investigator can also read disk-image files such as those created by dd.

Files and whole directory structures can be extracted easily from the source drive and stored for further use or analysis. Due to limitations imposed by Java, special files such as device nodes, pipes, sockets and links, cannot be extracted.

The G System, often simply called "G", is an effort to create exactly this: simulation of evolution. This is both, a scientific exercise and a virtual reality where many "users" can participate in an ever changing, realistic and ... evolving universe.
G is basically a framework for virtual world simulations. And not only a framework (the "G System") but a virtual reality itself, which will become the application created with the G System.
- Multi-User 3D virtual world experience. The G System provides a 3D virtual reality that can be experienced by many users at the same time. The Users are part of the evolving universe.
- Simulation. The goal of G is to simulate a realistic, dynamic and evolving universe. To allow great flexibility a well designed core system provides the infrastructure for the world. The whole world is made up with elements.
Elements allow for creation of rule systems (like realistic physics, impact of feelings,...) to be applied to elements as well as integration of artificial intelligence (and anything else that is needed) to create evolutionary abilities.
Rule systems are created with "agents". These agents can reach arbitrary complexity and are executed as a thread, thus allowing maximum freedom to the agent design. Users can enter the world and interact with their environment, which ultimately has an impact on the evolution of the virtual universe. Thus, users make up a part of the overall simulation.
Enhancements:
LIBRARIES
G Core System (GCS):
- GCS::GObject does not store the IDs of the children anymore
- GCS::GWorldData can now return a list of children of an element
G World Engine (GWE):
- Bugs fixed concerning connecting to the G Universe
- Mutex deadlocks fixed that prevented the demo to run
- XMPP Presence subscriptions are now handled and in use
- Added new GStorage class wich implements a Qt based database layer, every database supported by Qt is supported by the G System, tested and known to work so far: QSQLITE, QMYSQL3, QPSQL7
- GStorage now used instead of GXmlStorage
- All GXmlNetwork related classes have been removed
- Fixed iterator bug that could cause crashes
- The factory has been adapted to the new database options
BINARIES
guniverseclient:
- Extracted the communication/chat area into a separate widget
- Now differentiates between internal and external contacts in the
- contact list.
- The default configuration file is now in $HOME/.guniverseclient.xml
- This makes it easy to have different configurations for every user
MISC
installer:
- 2 questions less

The Bioinformatics Benchmark System is an attempt to build a reasonable testing framework, tests, and data, to enable end users and vendors to probe the performance of their systems.

What we are trying to do is to create a framework for testing, and a core set of tests that all may download and use to probe specific elements of systems performance.

Moreover, the source to these tests are available under GPL, and are hosted on Bioinformatics.org and Scalable Informatics LLC The idea is to enable end users, consumers, systems developers, and others to easily build and use meaningful tests for measurement and tuning reasons.

Joe Landman from Scalable Informatics LLC conceived the idea and wrote the original codes. We are looking for additional benchmark code suggestions, tests, data sets, etc.

Current baseline tests are several NCBI BLAST runs, several HMMer runs, and a variety of others. We plan to include ClustalW, X!Tandem, various chemistry, dynamics, and related tests, as well as several others.

Tests such as LINPACK or HPL simply do not provide meaningful performance indicators or predictive models for high performance informatics. Unfortunately, nor do a number of more recent and focused tests.

This is a problem as LINPACK and HPL specifically test the performance on various matrix operations, where you have effectively regular memory access patterns, and specific mathematical operations.

These codes are most useful for comparison to codes with heavy floating point operations, and interleaved memory traffic. These codes were not designed for comprehensive systems benchmarking, where disk I/O, memory latency, and other factors all contribute to the performance issues.

The best tests are the ones that are most similar to the codes you will run on the machine. The tests themselves should be reasonable approximations to a real execution of your code, using real data. You may need to pare it back in order to get realistic run times.

You should have a reasonable subset of data sizes. A single test does not tell you how your system scales, and one of the reasons for the existance of this test is specifically to allow you to test the performance while you increase various aspects of the workload.

You rarely get a quiescent system in a cluster, so we would recommend that you try to run in as realistic an operating environment as possible. A baseline in a quiescent system is fine, but it may set your expectations unreasonably.
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TyopoytaORvelo System MOnitor is a system monitor for Linux that sits in the corner of your desktop. TyopoytaORvelo System MOnitor renders itself on the root window (on the desktop) or to its own transparent window any special eyecandy.
TyopoytaORvelo System MOnitor can show lots of info about your system, including:
- kernel version
- uptime
- network interface information
- memory and swap usage
- hostname
- machine, i686 for example
- system name, Linux for example
- temperatures from i2c-sensors
Installation:
The `configure shell script attempts to guess correct values for various system-dependent variables used during compilation.
It uses those values to create a `Makefile in each directory of the package. It may also create one or more `.h files containing system-dependent definitions.
Finally, it creates a shell script `config.status that you can run in the future to recreate the current configuration, a file `config.cache that saves the results of its tests to speed up reconfiguring, and a file `config.log containing compiler output (useful mainly for debugging `configure).
If you need to do unusual things to compile the package, please try to figure out how `configure could check whether to do them, and mail diffs or instructions to the address given in the `README so they can be considered for the next release.
If at some point `config.cache contains results you dont want to keep, you may remove or edit it.
The file `configure.in is used to create `configure by a program called `autoconf. You only need `configure.in if you want to change it or regenerate `configure using a newer version of `autoconf.
The simplest way to compile this package is:
1. `cd to the directory containing the packages source code and type `./configure to configure the package for your system. If youre using `csh on an old version of System V, you might need to type `sh ./configure instead to prevent `csh from trying to execute
`configure itself.
Running `configure takes awhile. While running, it prints some messages telling which features it is checking for.
2. Type `make to compile the package.
3. Optionally, type `make check to run any self-tests that come with the package.
4. Type `make install to install the programs and any data files and documentation.
5. You can remove the program binaries and object files from the source code directory by typing `make clean. To also remove the files that `configure created (so you can compile the package for a different kind of computer), type `make distclean.
There is also a `make maintainer-clean target, but that is intended mainly for the packages developers. If you use it, you may have to get all sorts of other programs in order to regenerate files that came with the distribution.

Oxylus Newsletters System is a complex newsletter system. It allows you to manage multiple groups.
You can import and export users, and public subscription is allowed. Oxylus Newsletters System project allows linux users to schedule newsletters for a specific date using a crontab job.
For each sent newsletter, you can see its history and whether it was successfully sent.
Enhancements:
- This version is fully compatible with PHP5.
- The mails are sent just once to all the users.
- The SQL error which occurred when new groups are created was fixed.
- Various framework bugfixes were made.

gdWebSuite System is a script that is designed to be a full featured system for user registration, login, and administration on a Web site.
It also supports account activation and retrieving lost passwords. gdWebSuite System supports visual templates and different styles for each template.
Enhancements:
- New administration features for uploading avatars, a new avatar selection, and one new admin style were added.
- A private message system was started.
- Some changes and updates were made to various parts of the code.

Habitat from System Garden is a performance monitor of applications and operating system with the ability to track availability and service level. System Garden Habitats design goals are to be of modest size, flexible and ubiquitous.

The core of habitat provides a mechanism for collecting, storing and distributing data. Out of the box are many useful system collectors, known as probes.

Additionally, there is an API available to extend the collector (known as clockwork) with plug-ins, which allows data to be pulled from applications. Another API and a command line interface lets applications and scripts of all types push information into the collection system.

Learning Management System allows users to manage online learning classes.
It allows them to set up classes, create assignments online, and send messages to students from within the system for tracking.
Learning Management System is a simple system to move academic classes onto the Web in order to reach a larger audience.
Enhancements:
- This release fixed two bugs in the library file system.