Free discoverstation 4.0 software for linux

NxServLiv allow compressed remote X sessions using NoMachines (X11 based) NX libraries. It is like an SSH terminal, but graphical.

It works on network connection types ranging from modem to LAN, with different compression ratios. It was originally developed for the Spanish distribution LiVux.

Guarddog is a firewall configuration utility for Linux systems. It is aimed at two groups of users. Novice to intermediate users who are not experts in TCP/IP networking and security, and those users who dont want the hastle of dealing with cryptic shell scripts and ipchains/iptables parameters.
Main features:
- Easy to use goal oriented GUI. You say what the firewall should do without having to explain all the details of how it should do it.
- Application protocol based. Unlike other tools, Guarddog does not require you to understand the ins and outs of IP packets and ports. Guarddog takes care of this for you. This also reduces the chances of configuration mistakes being made which are a prime source of security holes.
- Doesnt just generate the firewall once and forgets it. Guarddog lets you maintain and modify the firewall in place.
- Hosts/networks can be divided into Zones. Different zones can have different security policies for different.
- Supports the following network protocols: FTP, SSH, Telnet, Linuxconf, Corba, SMTP, DNS, Finger, HTTP, HTTPS, NFS, POP2, POP3, SUN RPC, Auth, NNTP, NETBIOS Name Service, NETBIOS Session Service, IMAP, Socks, Squid, pcANYWHEREstat, X Window System, Traceroute, ICQ, PowWow, IRC, PostgreSQL, MySQL, Ping, Quake, QuakeWorld, Quake 2, Who Is, Webmin, ICMP Source Quench, ICMP Redirect, Real Audio, Line Printer Spooler, syslog, NTP, NetMeeting, Gnutella, LDAP, LDAP-SSL, SWAT, Diablo II, Nessus, DHCP, AudioGalaxy, DirectPlay, Halflife, XDMCP and Telstras BigPond Cable, CDDB, MSN Messenger, VNC, PPTP, Kerberos, klogin, kshell, NIS, IMAPS, POP3S, ISAKMP, CVS, DICT, AIM, Fasttrack, Kazaa, iMesh, Grokster, Blubster, Direct Connect, WinMX, Yahoo! Messenger, AH, ESP, Jabber, EsounD, Privoxy, eDonkey2000, EverQuest, ICP, FreeDB, Elster, Yahoo games, Legato NetWorker backups, Novell Netware 5/6 NCP, Bittorrent, rsync, distcc, Jabber over SSL, PGP key server, Microsoft Media Server and gkrellm.
- Protocols not supported in the list above can be entered in directly.
- Supports router configurations.
- Runs on KDE 2 or 3, and Linux 2.2, 2.4 and 2.6 series kernels.
- Supports advanced Linux 2.4+ iptables features such as connection tracking and rate limited logging.
- Firewall scripts can be Imported/Exported for use on machines other than the current one.
- DHCP support.
- Uses a "what is not explicitly allowed, is denied" philosophy. Fail-safe design.
- Well documented with tutorials and reference material.
- Licensed under the terms of the GNU General Public License. Is Free and will remain Free.

OGLTK (ogle-tic) is an OpenGL toolkit for GTK. This library gives programmers a very easy to use api to create amazing 3D applications. (Eg. Games, CAD)
OGLTK gives the programmer:
- OpenGL GTK Widget .
- A Scene object - Handles lighting and objects
- Lightsources
- Abstract 3D object class (GLobject)
- 3D Objects (Cube, Box and Gear, Cylinder, Disk, Sphere, Triangle) - Great examples of how to use the GLobject base class

Oggasm is a program that makes converting your mp3 collection into oggs a all but painless process.

Using oggenc and mpg321, with perl glueing it all together, oggasm is able to go through an entire collection, identify id3 tags and then convert those mp3s into oggs while keeping the id3 tags intact.

TODO:

server-client model: When oggasm is started I want it to creat a list of jobs that need to be done and then assign those jobs to various clients that could either be running on the same machine or on other machines connected via a network.

Im of two minds on how to do this. Either I learn how to use sockets and develop my own communication protocol to tell the clients what to do, or I create physical files that are grabed by the client via ftp or samba. Each one has its advantages and disadvantages and I hope to look into it more soon.

One thing that is very important is that a client machines need to be able to come and go as necessary. So oggasm might start with 2 clients, be at 5 later in the day, and then down to 1 when it all finishes.

network functionality: How this will look will rest largly on how the server-client model ends up looking. But most likely the it will involve using ftp or samba to grab files from the server machine, convert them, and then send them back to the server. After that the
client will be assigned a new job.

improvments to user interface: This will be a on going process. As I continue to get more feedback on how people felt their experience with oggasm was I can improve how it the interface looks. Recent changes with 1.3 will allow updates to the interface to be much smother than before.

more encoder/decoder options: certainly oggenc will remain the primary encoder, however other free codecs might come along someday, and it would be nice if oggasm was modular enough to beable to plug in different encoders. I would also like to support different decoders as not everyone has mpg321 (however I will NOT provide support of non-free decoders).

JVOIPLIB is an object-oriented Voice over IP (VoIP) library written in C++.
It is based upon work done for my thesis at the School for Knowledge Technology (or School voor Kennistechnologie in Dutch), a cooperation between the Hasselt University and the Maastricht University.
A part of this library was developed at the Expertise Centre for Digital Media (EDM) in Diepenbeek, Belgium. The EDM is a research institute of the Hasselt University.
Main features:
- Easy VoIP session creation and destruction.
- Highly configurable sessions: sampling rate, sample interval, compression type, ... can all be selected by the user. These features can also be changed during a session.
- Openness and extensibility: the object-oriented nature of the library makes it very easy to add features; new components can easily be tested by registering them as User Defined modules.
- Support for 3D effects: for my thesis I also did some research and development about VoIP in networked virtual environments, which included adding 3D effects to sound. For this reason, Ive added this feature to the library.

Numarray provides array manipulation and computational capabilities similar to those found in IDL, Matlab, or Octave. Using numarray, it is possible to write many efficient numerical data processing applications directly in Python without using any C, C++ or Fortran code (as well as doing such analysis interactively within Python or PyRAF).
For algorithms that are not well suited for efficient computation using array facilities it is possible to write C functions (and eventually Fortran) that can read and write numarray arrays that can be called from Python.
Numarray is a re-implementation of an older Python array module called Numeric. In general its interface is very similar. It is mostly backward compatible and will be becoming more so in future releases. Numarray offers more capability than Numeric but is still behind Numeric in some areas:
numarray is efficient for large arrays (>20,000 elements) but is slower than Numeric for small arrays by a factor of 2 to 4.
numarray has a smaller selection of addon packages. numarray currently has ports of Numeric packages for linear algebra, random numbers, and fourier transforms. numarray has native packages for convolution and multi-dimensional image processing. Most Numeric extensions (C or Fortran) can be ported to numarray with minimal effort.
numarray is sufficiently developed to be useful for a number of applications, and is being used in the Hubble Space Telescope data processing pipeline (for the Advanced Camera for Surveys) and to develop the Cosmic Origins Spectrograph pipeline. PyFITS is also based on it. Most of STScIs future astronomical data processing applications will be built using its capabilities.
Numarray is being developed as an Open Source project on SourceForge from which the current development source code may be obtained. The Science Software Branch at STScI is leading this development effort.
STScI has settled on the matplotlib plotting package as the recommended 2-d data visualization tool for numarray data. While its support for numarray and Tkinter is now present, we are holding off a bit before recommending its use for all users. If you dont mind possible problems with installation or some holes in functionality it can be used now. We are in the process of improving the installation documentation for use with numarray.
Although matplotlib has its heritage in trying to emulate matlab plotting capabilities from Python, it does not require matlab. Currently the documentation is geared towards those more familiar with matlab, though many users will have no problem generating simple plots with it. It is still undergoing considerable development (by the original author, John Hunter, and with contributions by STScI and others) and we hope to fill the holes in functionality in the coming months. Nevertheless, it is capable of doing many things now.
Enhancements:
ENHANCEMENTS
- Speed improvement for numarray operators. The Python level hook mapping numarray operators onto universal functions has been moved down to C.
- Speed improvement for string-array comparisons, any(), all(). String correlation is ~10x faster.
- Better operation with py2exe to help it automatically detect the core numarray extensions to include in an installer.
- scipy newcore compatible lower case type names (e.g. int32 not Int32)
- scipy newcore dtype keyword and .dtypechar attribute.
BUGS FIXED / CLOSED
- 1323355 Apps fail with import_libnumarray
- 1315212 Infinite loop converting some scalar strings into a list
- 1298916 rank-0 tostring() broken
- 1297948 records.array fails to create empty fields
- 1286291 import sys missing from array_persist.py
- 1286168 Generic sequences in ``strings.array()``
- 1236392 Outdated web link in announcements
- 1235219 LinearAlgebraError not imported in linear_algebra