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Setuptools revision control system plugin for Git.

This is a port of the MUSCLE PC/SC-Lite architecture. Allows easy porting of Windows smartcard software to other operating systems. Supports many types of serial, PCMCIA, and USB smartcard readers and cryptographic tokens.

setuptools plugin for darcs.

Best program ever. This program is a wrapper, it will exec whatever arguments it's given and if the program returns a non-zero exit status or terminates abnormally it will prompt the user to run the program again. It's best used when debugging a large build like so: make CC="replay cc" Then if cc bombs you don't have to restart make, you can just fix your source file and resume your build.

A complete C++ Text User Interface (TUI) featuring windows, dialogs (buttons, check and radio boxes, input boxes, etc.), mouse support, menus, etc. It's available for various platforms and compilers.

SimpleParse is a BSD-licensed Python package providing a simple and fast parser generator using a modified version of the mxTextTools text-tagging engine. SimpleParse allows you to generate parsers directly from your EBNF grammar. Unlike most parser generators, SimpleParse generates single-pass parsers (there is no distinct tokenization stage), an approach taken from the predecessor project (mcf.pars) which attempted to create "autonomously parsing regex objects". The resulting parsers are not as generalized as those created by, for instance, the Earley algorithm, but they do tend to be useful for the parsing of computer file formats and the like (as distinct from natural language and similar "hard" parsing problems). As of version 2.1.0 the SimpleParse project includes a patched copy of the mxTextTools tagging library with the non-recursive rewrite of the core parsing loop. This means that you will need to build the extension module to use SimpleParse, but the effect is to provide a uniform parsing platform where all of the features of a give SimpleParse version are always available.

The Genetic Algorithm Utility Library (or, GAUL for short) is a flexible programming library designed to aid in the development of applications that use genetic, or evolutionary, algorithms. It provides data structures and functions for handling and manipulation of the data required for a genetic algorithm. Additional stochastic algorithms are provided for comparison to the genetic algorithms. Much of the functionality is also available through a simple S-Lang interface.

SPARK stands for the Scanning, Parsing, and Rewriting Kit. It formerly had no name, and was referred to as the "little language framework." The first version (circa 1998) was described in the paper Compiling Little Languages in Python at the 7th International Python Conference.

Pretty-print tabular data in Python. The main use cases of the library are: printing small tables without hassle: just one function call, formatting is guided by the data itself authoring tabular data for lightweight plain-text markup: multiple output formats suitable for further editing or transformation readable presentation of mixed textual and numeric data: smart column alignment, configurable number formatting, alignment by a decimal point

distcc is a program to distribute compilation of C code across several machines on a network. distcc should always generate the same results as a local compile, is simple to install and use, and is often significantly faster than a local compile. Unlike other distributed build systems, distcc does not require all machines to share a filesystem, have synchronized clocks, or to have the same libraries or header files installed. Machines can be running different operating systems, as long as they have compatible binary formats or cross-compilers. distcc sends the complete preprocessed source code across the network for each job, so all it requires of the volunteer machines is that they be running the distccd daemon, and that they have an appropriate compiler installed. This version also comes with a text-based as well as a GNOME-based monitor to inspect the load on the cluster, and how it is distributed among the various distcc nodes.