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Galileo is a library for developing custom distributed genetic algorithms developed in Python. It provides a robust set of objects that can be used directly or as the basis of derived objects. Its modularity makes it easy to extend the functionality. The
SimNetQ is a discrete simulator of waiting queues networks. It is initially the result of the diplom work of Laurent Burgbacher. It provides a graphical diagram editor, a graphical simulator and a statistical analysis module.
ABE is a small, fast and convenient program for visualizing and modeling experimental bioassay data. The data can be modeled using either polynomials or a more specific four-parameter model based upon the standard, sigmoidal dose-response curve.
Tim Peters' FixedPoint.py
+ Write docs for the Library Reference manual. I expect the existing
module docstring will be a good start.
+ Create a test driver for Python's regression suite.
+ Have fun modernizing it, if you like (for example,
JReferences is a tool to store and retrieve bibliographic references from a file or MySQL database.
It reads BibTeXML, DocBook XML and RIS type references, and can output these and BibTex.
A bibtex like alternative is also provided for DocBook XML docu
FEVal, the Finite Element Evaluator written in Python, provides easy conversion for many Finite Element data formats (both binary and ascii). Mesh modification is very easy. Values of model results can be accessed given coordinates in physical space.
This is a slide rule emulator based on the classic Pickett slide rule design. It is written in Python, so the name "pyckett" is appropriate. It is suitable as an example of object-oriented Python software construction, including multiple inheritance.
A TextMap module for Python.
The TextMap class can be used to emulate oldfashioned computer screens. It will have methods like writexy(x,y,text),
input = readxy(x,y,text), clear(), scroll(x,y),
change(coloroptions), settext(text), input = gettext()
A python library for handling and analyzing biological sequence annotations as described in GFF files (General Feature Format). The library is intended to be a complete framework for this file format.
Port of Numerical Python to Jython (Java Python) to support all mathematical operations (linear algebra, matrices, DSP, wavelets, FFT, arrays...) and thus compete with commercial packages such as Matlab. It can be easily embedded in Java programs.
KPNClac is a polish notation calculator intended to inspired by the HP48 Series calculators. It handles complex numbers and will someday handle matricies. The next current development version allows user programmable functions via python.
FIDe is a software-based fault injector designed to validate Fault-Tolerant mechanisms and techniques used by applications. It was first used to measure database recovery coverage and costs, but can be used to test and validate ordinary applications.
Signal Processing and Classification Environment in Python using YAML
pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due...
This project is a python module containing functions to do with matricies. The functions allow all of the standard matrix operations plus a few extras.
Collect is a data acquisition (DAQ) program realized for the Schonland Research Centre for Nuclear Sciences of Johannesburg (South Africa). It is used to gather data from CAMAC ADCs and TDCs via a GPIB interface.
FreePM is an opensource physicians practice management / electronic medical record application.
The company providing support for FreePM nolonger exists. You may consider TORCH http://sourceforge.net/projects/op-torch/
or one of the other FOSS EMR's.
A Genetic Algorithm Training System in Python.
Gatspy provides the framework, the user provides the error
(fitness) function. Gatspy will evolve a solution that
attempts to minimize the error.