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VISPA is a novel development environment for high energy physics analyses, based on a combination of graphical and textual steering. The main goal of VISPA is to support users in prototyping, performing, and verifying a data analysis of any complexity.
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.
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.
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ptsa (pronounced pizza) stands for Python Time Series Analysis. A python module specifically designed with neural data in mind (EEG, MEG, fMRI, etc...), but applicable to almost any type of time series.
A database and a web front end for physiologic data on animal feeding, developed with PostgreSQL and Django at NESCent (http://www.nescent.org) for Mammalian Feeding Working Group (http://www.feedexp.org).
Current development of the codebase is on Github at http://github.com/NESCent/feedingdb.
Open Source Particle Image Velocimetry and PIV Analysis
OpenPIV is an initiative of scientists to develop a software, algorithms and methods for the state-of-the-art experimental tool of Particle Image Velocimetry (PIV) which are free, open source, and easy to operate.
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.
GraphicalOSfp is a python application which aims to collect random data issued by remote systems in IP and TCP sequences. These data are then displayed in a 3D referencial to highlight an attractor of the random engine of the remote machine.
Methods and testing of methods for automatic analysis of in situ cyclic
voltammetry data.
This, at least initially, is the code from my masters thesis, which was
done as a contribution to a larger project called Aevum. Aevum is being
developed at t
Interface to collect data from a Consort R305 unit via RS-232. It allows to record data from 2 units with a total of 4 channels. The graphical interface displays the value of the channels as graphs and saves them in a CSV file.
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
This toolkit allows complete control of a microscopy setup from Labview, Matlab, Scilab, Python, .Net, VB, IgorPro, Mathematica and more. Included is a standalone program for image acquisition and scripting control of a scientific microscope.
qips is a software package for analyzing ChIP-seq ("Chromatin ImmunoPrecipitation on sequencing") data. It finds enriched regions of arbitrary lengths and is therefore especially suited for analyzing ChIP-seq of histone marks or polymerase.
A collection of tools for working with the comparative data analysis ontology including import/export facilities for common phylogenetic file formats, and also a triple-store framework.
Shared Substance is a programming framework and middleware for developing distributed interactive application. The environment written in Python, operating on the data-oriented programming model.
The Virtual Collaboratory provides mechanisms for users to exchange information, data, on-line resources, and ideas. In a collaboratory, individuals from different locations are able to work together using VoIP, document exchange and other features
Transana is a cross-platform tool for the transcription and qualitative analysis of audio and video data. It also provides the ability to identify and organize analytically interesting portions of videos, as well as attach keywords to those video clips.