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Cca-forum unifies the Common Component Architecture tools and tutorial. It includes the CCA specifications, the Ccaffeine framework for HPC, and related tools. These support multilanguage scientific and parallel computing.
Liegkat-Archiv delivers ALK converters for spatial data formats (EDBS, BGRUND, SQD, DFK, HK) and coordinate systems used in German cadastral agencies before ALKIS into KML and JML. It delivers Python packages and XSL files.
The SIMP/STEP platform provides a fast, efficient, portable abstract framework for interactive and scripted cellular automata and lattice gas computing in the Python environment. SIMP provides a high-level 'programmable matter' laboratory built on
QuickFlash is a C++-based analysis library for data files generated by the Flash hydrodynamics code. It provides high-performance access to large datasets in low memory situations and other restrictive environments.
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ScardFace is a python3k library for interfacing with smart cards, which supports Plug-and-Play readers inclusion and threading. It also offers classes for manipulating APDU cmds and resps, and use them in a transport-protocol-independent fashion.
PyAnnotation is a Python Library to access and manipulate linguistically annotated corpus files. Supported file formats are Kura XML, Elan XML and Toolbox files. A Corpus Reader API is provided to support statistical analysis within the NLTK.
ECMWF parser is a software made in python (it has a version standalone and another python dependant) to work on the data provided by ECMWF. It uses WGRIB to convert binary data to ascii and operates over the last with several functions available.
Java based multi-agent platform built on an organizational model (agent, group, role). MadKit provides general agent facilities (lifecycle management, message passing, distribution, ...), and allows high heterogeneity in agents.
Volumetric file viewer for the human brain. Easy, powerful and flexible fMRI/MRI brain research and clinical neuro-surgery tool. Using state of the art open VTK 3D library, the proven Qt GUI toolkit, coded in Python.
pyastrolib is a python library providing professional astronomers a robust set of tools for astronomical data analysis. This project will provide all the functionality as NASA's IDL Astronomy User's Library in addition to other planned features.
The Protein Geometry Database hosts the development code for a flexible database for searching protein geometry, as well as a library for accessing this data for protein modeling & refinement programs.
booggie brings object-oriented graph grammars into engineering - Based on the application of object-oriented graph grammars, engineering knowledge is formalized and becomes computable in order to solve design tasks.
Open source, cross platform drivers and function library for the NovInt Falcon Haptic Controller. These drivers are not produced by Novint Technologies, Inc. and do not come with any warranty as to their correctness or usage.
pyFoam is a Python front-end to the OpenFOAM (Open Source CFD Toolbox). It introduces interactivity into OpenFOAM, simplifies connection with third-party functionality and streamlines design of custom user solvers
DTMF detector library and/or application that reads in the specified audio file and returns/outputs whether DTMF detected and/or list of detected digits. May have GUI and command line interfaces.
ESML is an interchange technology that utilizes external metadata to allow applications to plug and play seamlessly with Earth Science specific datasets in heterogeneous formats.
APLpy (the Astronomical Plotting Library in Python) is a Python module aimed at producing publication-quality plots of astronomical imaging data in FITS format. Visit http://aplpy.sourceforge.net/ for tutorials and documentation.
PyQwt = FAST and EASY data plotting for Numerical Python and PyQt.
PyQwt is a Python wrapper for the Qwt C++ class library which extends the Qt framework
with widgets to display and control data for scientific and engineering applications.
Please note: We moved RCS, future releases, BUGS to https://github.com/PyQwt