Cerridwen provides geocentric planetary data suitable for a broad spectrum of astronomical and astrological applications, with a focus on our solar system. Among its data you will find, for example, the time of the next sunrise or that of the last full moon, or simply the current tropical position of the sun. It comes with a simple command-line utility and a JSON server, but is also designed to serve as a basis for your own application.
Veusz is a scientific plotting package, designed to create publication-ready Postscript, PDF, or SVG output. It features an easy to use graphical interface as well as a command line interface and can be scripted or embedded in Python scripts. Graphs are constructed in a modular fashion from separate components. Datasets can be interactively modified or created from within the program.
PC-BASIC is an interpreter for GW-BASIC files. It can run and convert between ASCII, bytecode, and "protected" (encrypted) .BAS files. It implements floating-point arithmetic in the Microsoft Binary Format (MBF) and can therefore read and write binary data files created by GW-BASIC.
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano features tight integration with numpy, transparent use of a GPU, efficient symbolic differentiation, speed and stability optimizations, dynamic C code generation, and extensive unit-testing and self-verification. Theano has been powering large-scale computationally intensive scientific investigations since 2007. But it is also approachable enough to be used in the classroom (IFT6266 at the University of Montreal).
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.
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.
PyParticles is a particle simulation toolbox entirely written in Python. It simulates a particle-by-particle model with the most popular integrations methods, including Euler, Runge Kutta, and Midpoint. It represents the results on an OpenGL or Matplotlib plot, and offers an easy-to-use API.
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.
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.