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pyOBD-II (a.k.a. "pyobd2") is a Python library for communicating with OBD-II vehicles. Its goal is to make writing programs for vehicle diagnostics and monitoring vehicle data as easy as possible. Relies on pySerial to communicate with ELM scanners.
PyMani is a program for robotic manipulator simulation. Designed for testing manipulator dynamics and as an educational tool for teaching the robotic parameters. This project currently uses Python, VPython, SymPy, PyODE, and wxPython.
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This program is a User Interface to run command-line applications in any python-enabled system.
Batch execution is available for files in a folder or in subfolders.
* Note: The Google Maps V2 API used by this module has been deprecated. *
For V3, consider pygeocoder: https://pypi.python.org/pypi/pygeocoder
Easy-to-use Python wrapper for the Google Maps V2 and Local Search APIs. Provides geocoding, reverse geocoding, directions, and local search.
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Kana no quiz is a little educational tool to memorize the transcription and pronunciation of Japanese kana (katakana & hiragana), presented as a quiz. It is written in Python and uses a GTK+ interface for a nice cross-paltform rendering!
Data processing algorithms based on the gnostical theory of uncertain data possess high robustness with respect to both outlying data and changes of their statistical characteristics.
CitySpeed is a Python package that uses online mapping services to gather statistics on the efficiency and complexity of road networks. This can be used to create maps showing how fast you can drive around a particular city.
With this Python module (based on C++ code) it is possible to create a Brain Comp. Interface (BCI) and herewith to get EEG data online and evaluate the data while receiving it. - Up to now, this tool relies on the Brain Vision Rec. as EEG software -
GAI is a graphical GIS based front end to ANUGA which allows convenient and visual tools for setting up hydrodynamic models. GAI depends on ANUGA to run the models created by GAI.
Brian is a new simulator for spiking neural networks available on almost all platforms. The motivation for this project is that a simulator should not only save the time of processors, but also the time of scientists.