Open Source JavaScript Data Management Systems for Linux

JavaScript Data Management Systems for Linux

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

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  • 1
    Jmol

    Jmol

    An interactive viewer for three-dimensional chemical structures.

    Over 1,000,000 page views per month. Jmol/JSmol is a molecular viewer for 3D chemical structures that runs in four independent modes: an HTML5-only web application utilizing jQuery, a Java applet, a stand-alone Java program (Jmol.jar), and a "headless" server-side component (JmolData.jar). Jmol can read many file types, including PDB, CIF, SDF, MOL, PyMOL PSE files, and Spartan files, as well as output from Gaussian, GAMESS, MOPAC, VASP, CRYSTAL, CASTEP, QuantumEspresso, VMD, and many other quantum chemistry programs. Files can be transferred directly from several databases, including RCSB, EDS, NCI, PubChem, and MaterialsProject. Multiple files can be loaded and compared. A rich scripting language and a well-developed web API allow easy customization of the user interface. Features include interactive animation and linear morphing. Jmol interfaces well with JSpecView for spectroscopy, JSME for 2D->3D conversion, POV-Ray for images, and CAD programs for 3D printing (VRML export).
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    Downloads: 1,310 This Week
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  • 2
    Data Science at the Command Line

    Data Science at the Command Line

    Data science at the command line

    Command Line by Jeroen Janssens, published by O’Reilly Media in October 2021. Obtain, scrub, explore, and model data with Unix Power Tools. This repository contains the full text, data, and scripts used in the second edition of the book Data Science at the Command Line by Jeroen Janssens. This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools, useful whether you work with Windows, macOS, or Linux. You’ll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you’re comfortable processing data with Python or R, you’ll learn how to greatly improve your data science workflow by leveraging the command line’s power.
    Downloads: 4 This Week
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  • 3
    MathMod

    MathMod

    MathMod is a mathematical modeling software

    MathMod is a portable interactive plotting and graphing program for Windows, Linux, MacOSX and many other platforms. MathMod allows to plot 3D mathematical surfaces, described by implicit or parametric equations, and offers a very large database of model samples that can be generated with it. It's Free and Open Source. Change-log for MathMod-13.0 (15/11/2025) 1) Scripts generator to add thickness to iso/parametric surfaces 2) Undo/Redo commands for navigating through previous scripts 3) New scripts, Bug-fixes, code optimization and documentation update For a complete list of changes made during the course of development, please visit: https://github.com/users/parisolab/projects/2
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    Downloads: 12 This Week
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  • 4
    Data Science Specialization

    Data Science Specialization

    Course materials for the Data Science Specialization on Coursera

    The Data Science Specialization Courses repository is a collection of materials that support the Johns Hopkins University Data Science Specialization on Coursera. It contains the source code and resources used throughout the specialization’s courses, covering a broad range of data science concepts and techniques. The repository is designed as a shared space for code examples, datasets, and instructional materials, helping learners follow along with lectures and assignments. It spans essential topics such as R programming, data cleaning, exploratory data analysis, statistical inference, regression models, machine learning, and practical data science projects. By providing centralized resources, the repo makes it easier for students to practice concepts and replicate examples from the curriculum. It also offers a structured view of how multiple disciplines—programming, statistics, and applied data analysis—come together in a professional workflow.
    Downloads: 0 This Week
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  • 5
    Webbased groupware written in php,mysql. Supports log,events,project management, calendar, todolist, contact management, cvs (file management). Next version includes a rss feed
    Downloads: 0 This Week
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  • 6
    A derivative of the project 'learning patterns for the design and depolyment of mathematical games' (http://lp.noe-kaleidoscope.org/), this is an on-line, html (AJAX) based editor & browser for FreeMind (http://freemind.sourceforge.net/) mindmaps.
    Downloads: 0 This Week
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  • 7
    gMol

    gMol

    gMol molecular graphics

    We've moved to https://github.com/tjod/gMol/wiki gMol is an interactive visualization system used to display and manipulate 3-dimensional models of scientific data, such as molecular structures and surfaces. It contains both OpenGL and web browser widgets that enable flexible user interfaces.
    Downloads: 0 This Week
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  • 8
    A viewer for large user models. VlUM visualises an RDF description of a user model graph.
    Downloads: 0 This Week
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