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https://github.com/camsai/jupyterlite

CAMSAI JupyterLite is a lightweight, browser-based environment tailored for AI-driven materials science research. It integrates CAMSAI tools, schemas, and workflows, enabling users to validate data, run simulations, and explore materials science applications without requiring local installation or setup.
https://github.com/camsai/jupyterlite

chemistry jupyterlite materials materials-design materials-informatics materials-science matplotlib numpy pyodide python scipy

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CAMSAI JupyterLite is a lightweight, browser-based environment tailored for AI-driven materials science research. It integrates CAMSAI tools, schemas, and workflows, enabling users to validate data, run simulations, and explore materials science applications without requiring local installation or setup.

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# JupyterLite Environment

[![lite-badge](https://jupyterlite.rtfd.io/en/latest/_static/badge.svg)](https://jupyterlite.github.io/demo)

JupyterLite deployed as a static site to GitHub Pages, for demo purposes.

## ✨ Try it in your browser ✨

➡️ **https://jupyterlite.mat3ra.com**

![github-pages](https://user-images.githubusercontent.com/591645/120649478-18258400-c47d-11eb-80e5-185e52ff2702.gif)

## Development Notes

### Extensions

The environment using the [data-bridge extension](https://github.com/Exabyte-io/mat3ra-jupyterlite-extension-data-bridge) (see [requirements.txt](requirements.txt)).

### Content

The content is based on the [api-examples](https://github.com/Exabyte-io/api-examples.git). And is being populated during build.

### Build

As below:

To build and run the environment locally:

1. check that `npm` is installed
2. run:
```bash
npm setup
npm run build
npm start
```

See [github workflow](.github/workflows/deploy.yml) and [package.json](package.json) for more information.