Showing 97 open source projects for "google-visualization-python"

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  • 1

    BriPy

    A BRIC-seq data analysis package written in Python.

    ...It employs metabolic labeling by BrU of newly synthesized RNAs to chase chronological decreases of BrU-labeled RNA (Pulse-chase labeling), followed by immunoprecipitation with antibody for BrU, construction of cRNA library for High-throughput sequencing and computational data analysis. -What is BriPy? BriPy package is a BRIC-seq data analysis tool written in Python. It can calculate RNA half-life for each transcript and draw graphs describing the kinetics of RNA decay. In the future, it will provide several useful modules(e.g. calculating RPKM of each transcript from BAM file or ELAND output file). -Prerequisites To use BriPy package, you will need Python and the following extension packages. ...
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  • 2
    MoDAVE aims at providing data analysis and visualization extensions to Mosaic datasets, including cubed sphere data, to the Climate Data Analysis Tools (CDATA) in particular.
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  • 3
    jHepWork

    jHepWork

    jHepWork was a name of the DataMelt program in 2005-20013

    jHepWork (2005-2013) was an environment for scientific computation, data analysis and data visualization for scientists, engineers and students. The program is fully multiplatform (100% Java) and integrated with the Jython (Python) scripting language. Currently the project is known under the name DataMelt (https://datamelt.org)
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  • 4

    ROOTlib

    C++ lib, that provides access to multiple ROOT routines (root.cern.ch)

    This C++ lib is used and created to provide easy methods based on ROOT (a CERN data analysis framework). It was developed for use in practical courses but is not limited to. In addition it is ported step by step into Python.
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  • 5
    The pySpec project is a set of data analysis routines written in python for analysis of x-ray diffraction data produced by the SPEC X-Ray Diffraction and Data Acquisition software. This repo has moved to : https://github.com/stuwilkins/pyspec
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  • 6
    EyeMap - Eye Movement Data Analyzer
    EyeMap is a visualization and analysis tool for text reading eye movement data. It can process Unicode, proportion/non-proportion and spaced/unspaced reading materials, which supports various languages and experiment methods.
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  • 7

    Electrophysiology & circular stats tools

    Data analysis and circular statistics with OpenElectrophy and R

    Set of tools for basic analysis of electrophysiological data. The Python classes show how to call OpenElectrophy functions and save data. The R library applies circular statistics to spike phase data and saves the best von Mises fit and the Rayleigh statistics on the disk. The wavelet coherence analysis is done in R by the package "sowas". Check the module R_coherence to see how we solved that problem.
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  • 8
    PROJECT MOVED: see http://www.vmtk.org for up-to-date information. Libraries and tools for 3D reconstruction, geometric analysis, mesh generation and surface data analysis in image-based blood vessel modeling.
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  • 9

    pygolem

    Python API for the GOLEM Tokamak discharge database

    This simple Python API aims to provide a simple and easy to understand access to the discharge database of the GOLEM Tokamak. The scipy, numpy and matplotlib Python libraries are used for data analysis and plotting.
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  • 10
    NLOPredict
    NLOPredict is a nonlinear optical prediction and data analysis tool. Nonlinear optical measurements can yield information about the structure of crystals, and orientation of molecules at surfaces and interfaces.
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  • 11

    rvis

    Genomic rearrangement evidence data analysis and visualization program

    Genomic rearrangement evidence data analysis and visualization program
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  • 12
    A GPR processer and viewer written in Python!
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  • 13
    Fityk
    The repository has been moved to: https://github.com/wojdyr/fityk. Fityk is nonlinear curve-fitting and data analysis software. It is specialized in fitting peaks (bell-shaped functions like Gaussian, Loretzian, Pearson7, Voigt) to experimental data.
    Downloads: 3 This Week
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  • 14
    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.
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  • 15
    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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  • 16
    DbViz produces plots of data contained in MySQL databases. Data can be viewed by looking at line graphs, xy scatter plots, and bar graphs. This greatly simplifies data analysis.
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  • 17
    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.
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  • 18
    ViVA is a desktop package for interactive visualization and visual data analysis.  It offers twenty linked visualizations and a library of 250 math functions, which can be used to create new variables or transformations "on-the-fly".
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  • 19
    PAIDA is pure Python scientific analysis package and supports AIDA (Abstract Interfaces for Data Analysis). PAIDA can create/plot histograms and functions etc. The parameter optimization and its error evaluation are also supported. Can use with Jython!
    Downloads: 3 This Week
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  • 20
    FRIDA (flexible rapid interactive data analysis) is a generic program for manipulating, fitting, and plotting x,z,y data. It is primarily aimed at spectral analysis, especially in neutron scattering. Note: project has moved away from sf.net.
    Downloads: 1 This Week
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  • 21
    IVuPy is a set of Python bindings for the Coin3D C++ class libraries which serve to create software for 3D visualization in science and engineering. IVuPy aims to be a solid basis for large Python programs for 3D visualization and data analysis.
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  • 22
    RStatServer is a system for quickly developing and deploying web applications that integrate statistical computations and graphics. It is built using the Zope web application develeopment system and the open-source statistical data analysis environment R
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