katso is a library to score binary-categorized data: [low for anti-conformist data], [mean for conformist data], and [high for eclectic data: data that is quite normal (has a lot in common with other data but has a few unusual attributes)]. Data looks like (0, 0, 1, 0, 0, 1, 1) or like (1, 0, 0, 0, 0, 1, 0), all of the same size and corresponding to predefined criteria.
Tracer is a package for ray-tracing in Python. Its main application area is solar energy, and the architecture focuses on extensibility and programmability, so it can be used as a part of other programs. For example, it could be used for optimization algorithms or annual performance simulations.
Milk is a machine learning toolkit in Python. Its focus is on supervised classification with several classifiers available: SVMs (based on libsvm), k-NN, random forests, and decision trees. It also performs feature selection. These classifiers can be combined in many ways to form different classification systems. For unsupervised learning, milk supports k-means clustering and affinity propagation.
pitch perfect is a tool for generating and playing audio tones. The mouse controls pitch and volume, while the keyboard allows persistent notes to be added for chord structure. A separate mode toggles between full note interpolation (off-key) and chromatic notes. It currently supports three common waveforms, in addition to allowing short .wav samples to be played.
DR14 T.meter is a commandline tool for computing the Dynamic Range of your music according to the procedure used in the offline meter released by the Pleasurize Music Foundation. It is very useful to measure how loud your music is and to understand that a good quality album always has a good dynamic. It's also useful for understanding the effects of the so-called loudness war.
comedi2py feeds data from a data acquisition board into Python by using call-back functions. The goal was to make this as easy as possible, hiding all the complexity of the asynchronous acquisition in comedi2py and providing the Python program simply with an array of the sampled data at a given sampling rate. The program has been tested with the USB-DUX boards, but should also run with any other COMEDI supported data acquisition board.
ARS (Autonomous Robot Simulator) is a physically-accurate simulation suite for research and development of mobile manipulators and, in general, any multi-body system. It is modular, easy to learn and use, and can be a valuable tool in the process of robot design, in the development of control and reasoning algorithms, and in teaching and educational activities. It will encompass a wide range of tools spanning from kinematics and dynamics simulation to robot interfacing and control.