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pyvista-js

Documentation Status JupyterLite stlite notebook-link standard-readme compliant

PyVista-like API for vtk.js — bring intuitive 3D visualization to the browser.

Try it with JupyterLite Try it with Stlite
jupyterlite-preview stlite-preview

Table of Contents

Install

PyPI Conda Python

pip install pyvista-js

For Pyodide/stlite:

import micropip

await micropip.install("pyvista-js")

Usage

import pyvista_js as pv

plotter = pv.Plotter()
plotter.add_mesh(pv.Sphere(), color="red")
plotter.show()

Citation

DOI

If you use pyvista-js in your research or projects, please cite it using the following:

@software{koyama_pyvista_js,
  author       = {Koyama, Tetsuo},
  title        = {pyvista-js: A PyVista-like API for 3D visualization in the browser},
  year         = 2026,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.19092335},
  url          = {https://github.com/tkoyama010/pyvista-js}
}

Alternatively, you can use the CITATION.cff file in this repository, which follows the Citation File Format standard.

Contributing

All Contributors

Enjoying pyvista-js? Show your support with a GitHub star — it's a simple click that means the world to us and helps others discover it, too!

Star History Chart

Contributions are welcome! Please open an issue or pull request on GitHub.

This project follows the all-contributors specification. Contributions of any kind welcome!

Tetsuo Koyama
Tetsuo Koyama

🤔 📖 💻 👀 🐛 🌍 📦 📆 🚇
All Contributors
All Contributors

📖
pre-commit
pre-commit

🚧
Claude
Claude

🐛 🚧 💻
Dependabot
Dependabot

🚧
Transifex
Transifex

📖 🌍
Eric Larson
Eric Larson

📦 💻

License

License

BSD 3-Clause © Tetsuo Koyama

Release files for pyvista-js 0.16.0

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0.17.0

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