7 projects for "python data analysis" with 2 filters applied:

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  • 1
    Avogadro

    Avogadro

    An intuitive molecular editor and visualization tool

    Avogadro is an advanced molecular editor designed for cross-platform use in computational chemistry, molecular modeling, bioinformatics, materials science and related areas. It offers a flexible rendering framework and a powerful plugin architecture.
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    Downloads: 974 This Week
    Last Update:
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  • 2
    MSGraph is a program designed for the interactive, fast, qualitative analysis of mass spectrometric (MS) data. It is a tool to provide fast and simple access to all the information contained in an LC/MS analysis run.
    Downloads: 0 This Week
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  • 3

    quichem

    Utilities for fast input of chemical formulae and equations.

    *** New releases of quichem will only be available on GitHub. *** quichem is a utility written in pure Python allowing for fast input and parsing of chemical formulae and equations. Entering data does not require any modifier keys or keystrokes to be pressed. This SourceForge page provided pre-built Windows binaries of quichem-pyside. **To run quichem on Mac OS X or Linux**, or with the wxPython front-end, please download the source from quichem's GitHub page at: github.com/spamalot/quichem.
    Downloads: 0 This Week
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  • 4
    DAVE is an integrated environment for the reduction, visualization and analysis of inelastic neutron scattering (scientific) data. It is built with IDL from Research Systems, Inc. DAVE is fully supported on Linux, Windows and MacOS X.
    Downloads: 0 This Week
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  • 5
    spclib provides a free and open library for the manipulation of spectral files in the Grams SPC format
    Downloads: 0 This Week
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  • 6
    Viewmol is a graphical front end for computational chemistry programs. It is able to graphically aid in the generation of molecular structures for computations and to visualize their results.
    Downloads: 2 This Week
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  • 7
    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.
    Downloads: 0 This Week
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