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PARs is a bioinformatics tool for the analysis of cis-regulatory DNA sequences. Composed of two parts: a suite of sequence analysis algorithms for predicting cis-binding sites in DNA sequences and a GUI for visualisation and exploration of the results.
A KDE based Computer Algebra System (CAS) that can also be used as an advanced replacement for KCalc. It is essentially a front end GUI for Maxima (and is easily extended to other CAS back-ends) and Gnuplot.
DrPangloss is a python implementation of a three operator genetic algorithm, complete with a java swing GUI for running the GA and visualising performance, generation by generation
Moodss is a modular monitoring application, composed of a GUI and a daemon, which supports any device or process for which a module can be developed. Complete dashboards with graphical viewers, thresholds, SQL database archiving, ... can be managed.
An extension of Code_Aster to add multilingual support to it's varying GUI interfaces included in the default package. Eventually, we also intend to extend Code_Aster by contributing command file templates and extending the analysis abilities.
The LuSeismo project provides modules for the Earthworm project to capture analog seismometer data w/linux. The project also provides GUI interfaces used in the Loyola Physics Department for several labs, utilizing these seismometers as educational tools
gCoder is a GUI, server-client based dyanmic programing contest controler built in Python. Its a programing contest controller like pc^2 and TopCoder(TM) areana. It use system test module, which can actually test contestent codes without any human interf
A dialect of XUL implementing most of Mozilla XUL's Fourth Draft. XML User Interface Language (XUL) is a method for easily creating GUI applications. Lux XUL supports Python scripting via Jython 2.1.
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Traditional but powerful cross-platform calculator. It is written in python and it uses wxWidgets as GUI (project is developed with Boa Constructor). By use of SciPy the vaCalculator can solve linear systems, do math with polynomials, integration etc.
MayaVi is a free, cross platform, easy to use scientific data visualizer. It provides a GUI to ease the visualization process, is written in Python and uses the Visualization Toolkit (VTK) for the graphics.
A Java software for 3D visualization of graphs/networks. It implements many graph layout algorithms (such as force-directed methods), graph generators (such as scale-free networks) and graph modifiers. Most functions can be accessed through its GUI.
Retic is a free EAI Server written in Jython (Java).
It permits to execute adaptors composed of sources, pipes (transformations) and sinks.
Connectivity with : JMS,HTTP,SOAP,UDDI,FTP,Xindice,JDBC,Jabber,SMTP...
XML Support : XSLT, Xpath.
Has GUI for
Real-time data visualization. Graphically view your data as it's being generated. Peakster is a very intuitive GUI written entirely in Python, which monitors data at regular intervals and uses gnuplot to render 2D, 3D and superimposed plots.
A gnome mathematical GUI designed to be a central tool where you can launch various other existing mathematical tools.
It now supports Numerical Python Session, and more soon.
Python-based GUI for discrete-event system modeling and simulation
DEVSimPy is an advanced wxPython GUI for the modeling and simulation of systems based on the DEVS (Discrete EVent system Specification) formalism. Features include powerful built-in editor, advanced modeling approach, powerful discrete event simulation algorithm, import/export DEVS components library and more.
Python-accessible toolkit for Geoscience & Remote Sensing Applications
...The C functions assume a particular format for the HDF5 file contents, and provide functions for reading and writing data to such files. There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A PythonGUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets.
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