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fastplotlib avatar

fastplotlib/fastplotlib

0
View on GitHub↗
www.fastplotlib.org/ver/dev↗

Fastplotlib

Next-gen fast plotting library running on WGPU using the pygfx rendering engine

Features

  • Visualization - High-performance plotting using the pygfx engine.

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1,512 stars·65 forks·Python·Apache-2.0·14 views

Star history

Star history chart for fastplotlib/fastplotlibStar history chart for fastplotlib/fastplotlib

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 Fastplotlib

These projects share indexed features with Fastplotlib. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • astrofrog/mpl-scatter-densityastrofrog avatar

    astrofrog/mpl-scatter-density

    526View on GitHub↗

    :zap: Fast scatter density plots for Matplotlib :zap:

    Python
    View on GitHub↗526
  • 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
  • districtdatalabs/yellowbrickDistrictDataLabs avatar

    DistrictDataLabs/yellowbrick

    4,398View on GitHub↗

    Yellowbrick is a machine learning visualization library and model diagnostic tool designed to analyze feature importance, target distributions, and model error metrics. It serves as a visual toolkit for diagnosing underfitting and overfitting through the use of validation and learning curves. The project provides specialized suites for evaluating predictive models and unsupervised learning. It enables the determination of optimal cluster counts via elbow methods and silhouette coefficients, and assesses classifier and regressor quality through ROC curves, confusion matrices, and residual plot

    Python
    View on GitHub↗4,398
  • astrofrog/fast-histogramastrofrog avatar

    astrofrog/fast-histogram

    280View on GitHub↗

    :zap: Fast 1D and 2D histogram functions in Python :zap:

    C
    View on GitHub↗280
Compare all 15 related projects→

Frequently asked questions

What does fastplotlib/fastplotlib do?

Next-gen fast plotting library running on WGPU using the pygfx rendering engine

What are the main features of fastplotlib/fastplotlib?

The main features of fastplotlib/fastplotlib are: Visualization.

Which projects share features with fastplotlib/fastplotlib?

Projects with overlapping indexed features include: astrofrog/mpl-scatter-density — :zap: Fast scatter density plots for Matplotlib :zap:. bokeh/bokeh — Bokeh is a Python data visualization library and interactive plotting framework used to create high-performance… districtdatalabs/yellowbrick — Yellowbrick is a machine learning visualization library and model diagnostic tool designed to analyze feature… flekschas/jupyter-scatter — Interactive 2D scatter plot widget for Jupyter Lab and Notebook. Scales to millions of points! has2k1/plotnine — Plotnine is a data visualization library for Python based on the Grammar of Graphics. It serves as a declarative… astrofrog/fast-histogram — :zap: Fast 1D and 2D histogram functions in Python :zap:.