Free problem in software for linux

PyWireless is a basic wireless connection monitor with DCOP support.
This is written because:
- KWifiManager seems like disaster (sorry guys!),
- Karamba eats my CPU,
- And there is no (or i cant find) KDE integrated wifi monitor tool
Enhancements:
- Program crashes at Shutdown problem solved.

PRepS is a tool for reporting and tracking problems or tasks. PRepS project is designed for tracking problems with software, but can also be used for tracking other types of problems or tasks. Be creative.

I started working on PRepS after determining that Gnats was overkill for what I needed to do, and that Gnats did not have the worlds greatest user interface. PRepS borrows some ideas from Gnats, and some ideas from other problem reporting systems that I have used. What I am aiming for with PRepS is a system that has enough features to make it useful, yet is not so complicated that it is cumbersome to use.

Please note that PRepS uses the PostgreSQL database server. If you are familiar with PostgreSQL, and with basic DBA tasks, then you should have no problem setting up and using PRepS.

Pyrex is a Language for Writing Python Extension Modules.
Pyrex is a language specially designed for writing Python extension modules. Its designed to bridge the gap between the nice, high-level, easy-to-use world of Python and the messy, low-level world of C.
You may be wondering why anyone would want a special language for this. Python is really easy to extend using C or C++, isnt it? Why not just write your extension modules in one of those languages?
Well, if youve ever written an extension module for Python, youll know that things are not as easy as all that. First of all, there is a fair bit of boilerplate code to write before you can even get off the ground. Then youre faced with the problem of converting between Python and C data types. For the basic types such as numbers and strings this is not too bad, but anything more elaborate and youre into picking Python objects apart using the Python/C API calls, which requires you to be meticulous about maintaining reference counts, checking for errors at every step and cleaning up properly if anything goes wrong. Any mistakes and you have a nasty crash thats very difficult to debug.
Various tools have been developed to ease some of the burdens of producing extension code, of which perhaps SWIG is the best known. SWIG takes a definition file consisting of a mixture of C code and specialised declarations, and produces an extension module. It writes all the boilerplate for you, and in many cases you can use it without knowing about the Python/C API. But you need to use API calls if any substantial restructuring of the data is required between Python and C.
Whats more, SWIG gives you no help at all if you want to create a new built-in Python type. It will generate pure-Python classes which wrap (in a slightly unsafe manner) pointers to C data structures, but creation of true extension types is outside its scope.
Another notable attempt at making it easier to extend Python is PyInline , inspired by a similar facility for Perl. PyInline lets you embed pieces of C code in the midst of a Python file, and automatically extracts them and compiles them into an extension. But it only converts the basic types automatically, and as with SWIG, it doesnt address the creation of new Python types.
Pyrex aims to go far beyond what any of these previous tools provides. Pyrex deals with the basic types just as easily as SWIG, but it also lets you write code to convert between arbitrary Python data structures and arbitrary C data structures, in a simple and natural way, without knowing anything about the Python/C API. Thats right -- nothing at all! Nor do you have to worry about reference counting or error checking -- its all taken care of automatically, behind the scenes, just as it is in interpreted Python code. And whats more, Pyrex lets you define new built-in Python types just as easily as you can define new classes in Python.
Enhancements:
- Tiny bugfix to correct a tab/space problem in the distutils extension.

vobject is a Python library for processing iCalendar and vCard information.
vobject library allows programs to manipulate standard Python objects like datetimes, and tzinfo classes for time zones without worrying too much about iCalendar semantics.
Enhancements:
- Changed API for accessing children and parameters, attributes now return the first child or parameter, not a list. See usage for examples
- Added support for groups, a vcard feature
- Added behavior for FREEBUSY lines
- Worked around problem with dateutils treatment of experimental properties (bug 4978)
- Fixed bug 4992, problem with rruleset when addRDate is set

Simple Log is a small library that does logging very simply and requires you to do almost nothing (other than actually logging) to get log output to happen. Simple Log is much simpler to use than a logging framework, especially in terms of configuration.
It doesnt attempt to solve every logging problem in one package, but contains enough features to be a viable alternative for most applications that need logging. This tool will handle the logging needs of most small- to large-sized projects, but with an almost non-existent learning curve.
Enhancements:
- This release is primarily about the addition of log rolling (by time of day, file size, or custom strategy), the inclusion of a small but humorous user guide, the fixing of a raft of minor bugs, and the inclusion of a few other small features increasing flexibility.

Azureus Speed Control is a project that enables automatic configuration of your upload limit. This addresses the problem of implicit additional upload when Azureus downloads with high speed, which can lead to connection choking. This is a problem specially for users with low upload bandwidth like German ADSL users.

If your download rate increases, the upload limit will be reduced by a value that can be customized. If the download rate decreases, the upload limit will increase again.