Browse free open source Python Data Analytics Tools and projects below. Use the toggles on the left to filter open source Python Data Analytics Tools by OS, license, language, programming language, and project status.

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  • 1
    This is a sophisticated & integrated simulation and analysis environment for dynamical systems models of physical systems (ODEs, DAEs, maps, and hybrid systems). It supports symbolic math, optimization, continuation, data analysis, biological apps...
    Downloads: 1 This Week
    Last Update:
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  • 2
    PyNanoLab

    PyNanoLab

    data analysis and Visualization with matplotlib

    PyNanoLab contains a variety of tools to complete the data analysis, statistics, curve fitting, and basic machine learning application. Visualization in pynanolab is based on matplotlib. The setup tools is desinged to control and set-up all the details of the figure with a GUI.
    Downloads: 1 This Week
    Last Update:
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  • 3
    DSTK - DataScience ToolKit

    DSTK - DataScience ToolKit

    DSTK - DataScience ToolKit for All of Us

    DSTK - DataScience ToolKit is an opensource free software for statistical analysis, data visualization, text analysis, and predictive analytics. Newer version and smaller file size can be found at: https://sourceforge.net/projects/dstk3/ It is designed to be straight forward and easy to use, and familar to SPSS user. While JASP offers more statistical features, DSTK tends to be a broad solution workbench, including text analysis and predictive analytics features. Of course you may specify JASP for advanced data editing and RapidMiner for advanced prediction modeling. DSTK is written in C#, Java and Python to interface with R, NLTK, and Weka. It can be expanded with plugins using R Scripts. We have also created plugins for more statistical functions, and Big Data Analytics with Microsoft Azure HDInsights (Spark Server) with Livy. License: R, RStudio, NLTK, SciPy, SKLearn, MatPlotLib, Weka, ... each has their own licenses.
    Downloads: 0 This Week
    Last Update:
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  • 4

    Data analysis for ADEXL

    Create Excel reports from results of Cadence ADE-XL simulations

    *** Required files from "Excel COM API for Python" project *** The scripts allows post processing of data saved in CSV format from "Detail - Transposed" view of ADE-XL
    Downloads: 0 This Week
    Last Update:
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  • 5

    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. This packages may be useful for people who start using OpenElectrophy and circular statistics in R. If you find errors, please report them. The project is still in development, so in the future you'll get updates.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    GUI for DEDA

    GUI for DEDA

    GUI for DEmography Data Analysis

    <This project has been completely rewrote and transformed into a new one: https://sourceforge.net/projects/deday/. 2013/06/26> The graphic user interface for DEDA (DEmography Data Analysis), a scientific software package fitting survivalship data to a number of distributions using maximum likelihood (ML) method. Currently, Weibull (2p), Gompertz and Gompertz-Makeham are supported. IMPORTANT NOTICE: Only the GUI is provided here. In order to perform the analysis, one also need the DEDA computation core program. Please email a request to me, entitled: 'Request for DEDA computation core', if you wish to have a copy.
    Downloads: 0 This Week
    Last Update:
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  • 7

    Larch: Data Analysis for X-ray Spectra

    Data Processing and Analysis for X-ray Spectroscopy and More

    Larch is a scientific data processing language that is designed to be easy to use for novices and complete enough for advanced data processing and analysis. Larch provides a wide range of functionality for dealing with arrays of scientific data, and basic tools to make it easy to use and organize complex data. Larch has been primarily developed for dealing with x-ray spectroscopic and scattering data, especially the kind of data collected at modern synchrotrons and x-ray sources. Larch is written in Python and relies heavily on the standard tools for scientific computing with Python (numpy, scipy, matplotlib, and h5py).
    Downloads: 0 This Week
    Last Update:
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  • 8

    Python Laboratory Operations Toolkit

    many useful snippets for using python in a laboratory

    A toolkit of Python software useful in a laboratory data acquisition and analysis environment. Includes support for such protocols as VXI-11 (and its extension, LXI), Vernier LabPro (now very old), and National Instruments DSTP (now very old). Also includes data analysis and modelling tidbits. Python3 updates are on the way in the very near future for the biggest packages. the vxi11 package is fully up-to-date, although see the blog post about python 3.13
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9

    SASA Tool

    SWATH-Auto System Analyzer Tool, SASA Tool

    SWATH-Auto System Analyzer Tool, SASA Tool, is a novel SWATH platform for non-targeted metabolomics data analysis with an accurate mass spectral library for metabolite identification using SWATH acquisition mode.
    Downloads: 0 This Week
    Last Update:
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  • 10
    A tool for autonomous and virtual topical data integration using the focused web-harvesting method.
    Downloads: 0 This Week
    Last Update:
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  • 11
    PAScual is a data analysis suite for Positron Annihilation Lifetime Spectroscopy (PALS).
    Downloads: 0 This Week
    Last Update:
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  • 12

    pflexible

    A python tool for data analysis of FLEXPART transport modeling.

    This software is being created to work with FLEXPART and other atmospheric transport model ouput. FLEXPART is a Lagrangian particle dispersion model written by Andreas Stohl. It is in active development at NILU and by Sabine Eckhardt, John Burkhart and numerous other research groups worldwide. For more information on FLEXPART visit the homepage Contact A maillist has been set up for users at sourceforge. Please direct inquiries via the pflexible_maillist Direct inquiries may be sent to:: John F Burkhart, University of Oslo [john.burkhart](mailto://john.burkhart@geo.uio.no) Get the Code: BitBucket Clone the bitbucket repository: %hg clone https://bitbucket.org/jfburkhart/pflexible pflexible
    Downloads: 0 This Week
    Last Update:
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  • 13
    rocket-bi

    rocket-bi

    An open-source web-based self-service BI for analytical databases

    Rocket.BI is a free, open-source, web-based business intelligence solution specifically designed for analytical databases. It enables data analysts and business users alike to easily integrate different data sources, perform advanced data analysis, ad hoc, and more. With an easy-to-use editor, you can create personalized reports, build interactive business dashboards and generate actionable business insights. Rocket.BI also allows collaboration as working together with other people in the organization.
    Downloads: 0 This Week
    Last Update:
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