fastplotlib
GPU-accelerated plotting library built on WGPU and pygfx for fast interactive visualization.
- Active
- Apache-2.0
- Python
- Python data visualization libraries
- GitHub stars
- 1.5K
- Commits, last 12 months
- 49
- Contributors
- 14
- Last commit
- Latest release
- v0.7.0Sep 24, 2026
Overview
fastplotlib is an open-source Python visualization library released under the Apache-2.0 license. Its GitHub repository has 1,531 stars, 66 forks, and 14 contributors. It is actively developed with 49 commits in the last 12 months. The latest release, v0.7.0, was published on Sep 24, 2026.
Its GitHub description: Next-gen fast plotting library running on WGPU using the pygfx rendering engine
GitHub topics: gpuscientific-visualizationvisualizationvulkanwebgpuwgpupygfxinteractive-visualizationsfast-visualization
Install
Development activity
Commits per month to the default branch over the last 12 complete months.
Show data as a table
| Month | Commits |
|---|---|
| Oct 2025 | 12 |
| Nov 2025 | 7 |
| Dec 2025 | 4 |
| Jan 2026 | 1 |
| Feb 2026 | 9 |
| Mar 2026 | 4 |
| Apr 2026 | 1 |
| May 2026 | 0 |
| Jun 2026 | 1 |
| Jul 2026 | 0 |
| Aug 2026 | 1 |
| Sep 2026 | 9 |
Popularity among Python data visualization libraries
Show data as a table
| Tool | Stars |
|---|---|
| Streamlit | 45,897 |
| Dash | 24,441 |
| Matplotlib | 23,322 |
| Bokeh | 20,455 |
| Taipy | 19,441 |
| Plotly (Python) | 18,824 |
| fastplotlib | 1,531 |
Alternatives to fastplotlib
-
Streamlit
Framework for turning Python scripts into interactive data apps.
-
Dash
Framework for building data apps and dashboards in Python, built on Plotly.js and React.
-
Matplotlib
2D plotting library.
-
Bokeh
Interactive Web Plotting for Python.
-
Taipy
Python framework for building data and AI web applications with interactive charts and dashboards.
-
Plotly (Python)
Interactive web based visualization built on top of plotly.js
fastplotlib FAQ
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pip install fastplotlib.What are the best alternatives to fastplotlib?
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Data: GitHub API, PyPI. Updated Oct 5, 2026.