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glumpy avatar

glumpy/glumpy

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Glumpy

Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization

Features

  • Data Visualization - Fast and scalable scientific visualization library.

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  • Python Visualization - OpenGL-based library for scientific visualizations.
  • Python Visualization Libraries - OpenGL-based library for scientific visualizations.
  • 1,279 stars·181 forks·Python·BSD-3-Clause·12 views

    Star history

    Star history chart for glumpy/glumpyStar history chart for glumpy/glumpy

    How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

    Projects sharing features with Glumpy

    These projects share indexed features with Glumpy. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
    • pyecharts/pyechartspyecharts avatar

      pyecharts/pyecharts

      15,761View on GitHub↗

      pyecharts is a Python visualization library and wrapper for the Echarts JavaScript engine. It translates Python data and configurations into JSON specifications to generate interactive web-based charts and graphs. The library provides specialized capabilities for geographic data mapping using a comprehensive library of map assets to visualize spatial information. It also includes utilities to capture rasterized snapshots of rendered web visualizations for export as static image files. The tool supports rendering interactive plots directly within data science notebook environments and exporti

      Python
      View on GitHub↗15,761
    • residentmario/missingnoResidentMario avatar

      ResidentMario/missingno

      4,209View on GitHub↗

      missingno is a Python library for the visualization and analysis of missing data patterns. It provides a set of tools to profile dataset completeness, map data gaps, and quantify the volume of null values across variables. The library differentiates itself through a nullity correlation analyzer and a hierarchical data clustering tool. These components allow for the detection of systemic dependencies and trends by measuring how the absence of one variable relates to the absence of another. The toolset covers broader data quality auditing and exploratory analysis capabilities. It includes feat

      Pythondata-analysisdata-visualizationmissing-data
      View on GitHub↗4,209
    • nicohlr/ipychartnicohlr avatar

      nicohlr/ipychart

      131View on GitHub↗

      The power of Chart.js with Python

      Python
      View on GitHub↗131
    • spotify/chartifyspotify avatar

      spotify/chartify

      3,637View on GitHub↗

      Python library that makes it easy for data scientists to create charts.

      Python
      View on GitHub↗3,637
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    Frequently asked questions

    What does glumpy/glumpy do?

    Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization

    What are the main features of glumpy/glumpy?

    The main features of glumpy/glumpy are: Data Visualization, Python Visualization, Python Visualization Libraries.

    Which projects share features with glumpy/glumpy?

    Projects with overlapping indexed features include: nicohlr/ipychart — The power of Chart.js with Python. pyecharts/pyecharts — pyecharts is a Python visualization library and wrapper for the Echarts JavaScript engine. It translates Python data… residentmario/missingno — missingno is a Python library for the visualization and analysis of missing data patterns. It provides a set of tools… spotify/chartify — Python library that makes it easy for data scientists to create charts. bokeh/bokeh — Bokeh is a Python data visualization library and interactive plotting framework used to create high-performance… matplotlib/matplotlib — Matplotlib is a Python data visualization library and 2D plotting engine used to generate publication-quality figures…