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JetBrains/lets-plot

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lets-plot.org↗

Lets Plot

Multiplatform plotting library based on the Grammar of Graphics

Features

  • Data Visualization - Multiplatform plotting library based on the grammar of graphics.

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  • Visualization - Multi-platform plotting library for statistical data.
  • 1,762 stars·59 forks·Kotlin·MIT·17 views

    Star history

    Star history chart for jetbrains/lets-plotStar history chart for jetbrains/lets-plot

    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 Lets Plot

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

      vega/altair

      10,410View on GitHub↗

      Altair is a declarative data visualization library for Python that generates Vega-Lite specifications. It functions as a tool for mapping data to graphical marks using a high-level syntax, allowing users to describe the desired visual outcome instead of writing imperative drawing commands. The framework enables the creation of interactive charts and graphics, including linked views and filtered displays that respond to user input in real time. It supports the design of multi-view dashboards by combining visualizations into layered or faceted layouts. The library provides capabilities for sta

      Python
      View on GitHub↗10,410
    • bokeh/bokehbokeh avatar

      bokeh/bokeh

      20,403View on GitHub↗

      Bokeh is a Python data visualization library and interactive plotting framework used to create high-performance graphics and data dashboards that render in web browsers. It serves as a tool for generating standalone HTML documents, embedded components for digital notebooks, and full-stack web applications powered by a Python backend. The project distinguishes itself through its ability to handle large or streaming datasets while maintaining smooth interactivity. It enables linked brushing across multiple views, allowing data selected in one plot to automatically highlight corresponding data i

      TypeScriptbokehdata-visualisationinteractive-plots
      View on GitHub↗20,403
    • has2k1/plotninehas2k1 avatar

      has2k1/plotnine

      4,598View on GitHub↗

      Plotnine is a data visualization library for Python based on the Grammar of Graphics. It serves as a declarative statistical plotting framework and multi-panel plotting engine, allowing users to create complex charts by mapping data variables to visual properties such as position, color, and size. The project is distinguished by its use of a layered composition model and a statistical transformation engine that performs aggregations and computations before rendering visuals. It features a comprehensive system for multi-panel faceting, which enables the splitting of a single visualization into

      Pythondata-analysisgrammargraphics
      View on GitHub↗4,598
    • contextlab/hypertoolsContextLab avatar

      ContextLab/hypertools

      1,882View on GitHub↗

      A Python toolbox for gaining geometric insights into high-dimensional data

      Pythondata-visualizationdata-wranglinghigh-dimensional-data
      View on GitHub↗1,882
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    Frequently asked questions

    What does jetbrains/lets-plot do?

    Multiplatform plotting library based on the Grammar of Graphics

    What are the main features of jetbrains/lets-plot?

    The main features of jetbrains/lets-plot are: Data Visualization, Visualization.

    Which projects share features with jetbrains/lets-plot?

    Projects with overlapping indexed features include: bokeh/bokeh — Bokeh is a Python data visualization library and interactive plotting framework used to create high-performance… vega/altair — Altair is a declarative data visualization library for Python that generates Vega-Lite specifications. It functions as… has2k1/plotnine — Plotnine is a data visualization library for Python based on the Grammar of Graphics. It serves as a declarative… fastplotlib/fastplotlib — Next-gen fast plotting library running on WGPU using the pygfx rendering engine. districtdatalabs/yellowbrick — Yellowbrick is a machine learning visualization library and model diagnostic tool designed to analyze feature… contextlab/hypertools — A Python toolbox for gaining geometric insights into high-dimensional data.