pyvista-js

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

Try it with JupyterLite	Try it with Stlite

Table of Contents

• Table of Contents
• Install
• Usage
• Citation
• Contributing
• License

Install

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

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

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!

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 🤔 📖 💻 👀 🐛 🌍 📦 📆

All Contributors 📖

pre-commit 🚧

Claude 🐛 🚧 💻

Dependabot 🚧

Transifex 📖 🌍

License

BSD 3-Clause © Tetsuo Koyama