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

  • Optimize every aspect of hiring with Greenhouse Recruiting Icon
    Optimize every aspect of hiring with Greenhouse Recruiting

    Hire for what's next.

    What’s next for many of us is changing. Your company’s ability to hire great talent is as important as ever – so you’ll be ready for whatever’s ahead. Whether you need to scale your team quickly or improve your hiring process, Greenhouse gives you the right technology, know-how and support to take on what’s next.
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  • Airlock Digital - Application Control (Allowlisting) Made Simple Icon
    Airlock Digital - Application Control (Allowlisting) Made Simple

    Airlock Digital delivers an easy-to-manage and scalable application control solution to protect endpoints with confidence.

    For organizations seeking the most effective way to prevent malware and ransomware in their environments. It has been designed to provide scalable, efficient endpoint security for organizations with even the most diverse architectures and rigorous compliance requirements. Built by practitioners for the world’s largest and most secure organizations, Airlock Digital delivers precision Application Control & Allowlisting for the modern enterprise.
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  • 1
    While resting-state fMRI is drawing more and more attention, there has not been a software for its data analysis. Based on MATLAB, we developed a package named REST. Currently REST has three main functions: function connectivity, ReHo and ALFF.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    China School bus

    China School bus

    China School Bus Data Analysis model

    International School Bus Operation Specification
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3

    MTTK Open BI

    A user-friendly lightweight BI tool.

    A user-friendly lightweight BI tool. It is a set of plugins of MTTK Lowcode Engine, so the user manual and develop manual are combined together with MTTK Low Code Engine. Code repository: https://github.com/jamie-mttk/mttk-lowcode-designer Online demo available at http://139.129.210.30:8825 (First visit may be slow) Username: admin Password: 123456 Lightweight No data processing engine offered, all the data processing depends on the target Databse Server. Easy to use For example ,to build an echart need to provide many many configurtaions/options, such as title location, grid position,etc. To simplified the usage ,only the important options should be configured by user with default setting, other options are set by BI system automatically.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    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: 0 This Week
    Last Update:
    See Project
  • Share your screen instantly while on a phone call with CrankWheel for an engaging presentation. Icon
    Share your screen instantly while on a phone call with CrankWheel for an engaging presentation.

    For salespeople and customer service agents who want to compliment their phone calls with visual elements.

    Our 10x simpler screen sharing tool is designed for you if you spend your days on the phone with clients, and need to add a visual presentation to close sales. No more scheduling a follow-up meeting, or teaching them to use a complex tool. Send them a text message or email, and they see your screen in seconds.
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  • 5
    SCiDA Pro

    SCiDA Pro

    Program for solar cell production data analysis

    The purpose of the SCiDA Pro program is to help with processing solar cell production data. It has the following features: - Able to handle large data sets in a fast way (e.g. plotting 100k cell data takes a few seconds) - Easy data filtering - Easy generation of a data summary report - Extensive data plotting features - Cross-platform (Windows/Linux/MacOS) - Supports multiple languages
    Downloads: 0 This Week
    Last Update:
    See Project
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