MathGL is a library for making high-quality scientific graphics under Linux and Windows, fast data plotting and handling of large data arrays, working in window and console modes, and easily embedding into other programs. It has more than 40 general types of graphics for 1d, 2d, and 3d data arrays. It can export graphics to raster and vector (EPS or SVG) formats. It has an OpenGL interface and can be used from console programs. It has functions for data handling and MGL language scripting for simplification of data plotting. It has several types of transparency and smoothed lightning, vector fonts and TeX-like formula drawing, an arbitrary curvilinear coordinate system, and many other useful things.
Angel is a 2D game prototyping engine based on OpenGL and C++. It was originally made by a group of employees at Electronic Arts Los Angeles for use in a GameJam they were planning for April of 2008. Angel provides many useful functions for prototyping gameplay, including simple physics, particles, text rendering, sound, input mappings, config files, pathfinding, and Python scripting.
DFF (Digital Forensics Framework) is a simple but powerful tool with a flexible module system which will help you in your digital forensics works, including file recovery due to error or crash, evidence research and analysis, etc. DFF provides a robust architecture and some handy modules.
The pbs_python package is a wrapper class for the Torque Batch System C library. With this package, you now can write utilities and extensions in Python instead of C. This package was developed to replace xpbsmon by an ASCII version named pbsmon. PBSQuery is also included in this package. This is a Python module built on top of the pbs Python module to simplify querying the batch server. There are a lot of examples included in the source package.
SHTns is a high-performance Spherical Harmonic Transform library. It was designed for numerical simulation (fluid flows, mhd, etc.) in spherical geometries, but can be used for any kind of problem involving scalar or vector spherical harmonics. It is very fast, thanks to careful vectorization and runtime tuning. It supports multi-threaded transforms via OpenMP. It features scalar and vector transforms, synthesis and analysis, and flexible truncation and normalization. A Python interface is included.