Showing 163 open source projects for "python data analysis"

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  • 1
    The fst2v5d package converts data stored in the Canadian RPN Standard File (FST) format into Vis5D format. FST files, commonly used to store meteorological data, are scanned by fst2v5d to generate both 4D fields and independent topography input files.
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  • 2
    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.
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  • 3
    NTuple is a Python module used by high-energy physicists and astrophysicists to easily and efficiently access ntuple data stored in large ROOT data stores. Specifically, NTuple provides a friendly Pythonic interface to TNtuples and TTrees stored in TFiles
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  • 4
    Modama is a new software project for processing and analysing 2d detector data (images) provided by any available detectors, mainly SAX and WAX.
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  • 5
    We are trying to create a very complete physics teaching program. So, we would be pleased if you could suggest any improvement or create any module for us. To use any of these sources you need python 2.2, pygame and scipy.
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  • 6
    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.
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  • 7
    MathROOT is a tool for high-energy physicists to access the ROOT data analysis framework from within Mathematica
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  • 8
    Refl2EXAFS is an utility for the analysis of extended x-ray absorption fine structure (EXAFS) data collected in total reflection mode (reflEXAFS).
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  • 9

    md-utils

    Utilities to analyze molecular dynamics data

    Analysis tools involve 1D, 2D and 3D data binning (histograms), volumetric data handling, etc. A small library, libmd, is an abstraction layer that serves data exchange among different tools.
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  • 10
    FDTD Antenna Simulator is a complete software package for antenna analysis and design using the FDTD method.
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  • 11
    Orbit Response Matrix analysis
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  • 12
    Simple Python class for managing tables of data in memory using NumPy. It allows to give names to views of array. The package contains few classes built on top of the basic one to be used as post processing tools for particle optics computations.
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  • 13
    Dasema is a compact C++ library for interpreting mathematical formula and applying them to data points/sets. It supports multiple variables and comes with a tool for benchmarking, a C++ GNU-like frontend as proof-of-consept and SWIG interface to Python.
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