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@jupyterlite/terminal

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# jupyterlite-terminal [![Github Actions Status](https://github.com/jupyterlite/terminal/workflows/Build/badge.svg)](https://github.com/jupyterlite/terminal/actions/workflows/build.yml) [![lite-badge](https://jupyterlite.rtfd.io/en/latest/_static/badge.svg)](https://jupyterlite-terminal.vercel.app/) A terminal for JupyterLite. ⚠️ This extension is still in development and not yet ready for general use. ⚠️ ![a screenshot showing a terminal running in JupyterLite](https://raw.githubusercontent.com/jupyterlite/terminal/main/screenshot.png) ## Requirements - JupyterLite >= 0.6.0 ## Install To install the extension, execute: ```bash pip install jupyterlite-terminal ``` You will also need to install the JupyterLite CLI: ```bash python -m pip install jupyterlite-core ``` ## Usage After installing `jupyterlite-core` and `jupyterlite-terminal`, create a `jupyter-lite.json` file with the following content to activate the terminal extension: ```json { "jupyter-lite-schema-version": 0, "jupyter-config-data": { "terminalsAvailable": true } } ``` Then build a new JupyterLite site: ```bash jupyter lite build ``` ## Version compatibility Each `jupyterlite-terminal` release is built against a specific version of `cockle`. If you need to include imports from both `jupyterlite-terminal` and `cockle`, such as if you are implementing `cockle` external commands, you should ensure that you are using the correct version combination. | `jupyterlite-terminal` | `cockle` | `jupyterlite-core` | | ---------------------- | -------- | ------------------ | | 1.0.0 | 1.0.0 | >= 0.6, < 0.7 | | 0.2.2 | 0.1.3 | >= 0.6, < 0.7 | ## Contributing ### Development install Note: You will need NodeJS to build the extension package. The `jlpm` command is JupyterLab's pinned version of [yarn](https://yarnpkg.com/) that is installed with JupyterLab. You may use `yarn` or `npm` in lieu of `jlpm` below. ```bash # Clone the repo to your local environment # Change directory to the jupyterlite_terminal directory # Install package in development mode pip install -e "." # Link your development version of the extension with JupyterLab jupyter labextension develop . --overwrite # Rebuild extension Typescript source after making changes jlpm build ``` You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension. ```bash # Watch the source directory in one terminal, automatically rebuilding when needed jlpm watch # Run JupyterLab in another terminal jupyter lab ``` Then build a JupyterLite distribution with the extension installed: ```bash cd deploy jupyter lite build --contents contents ``` And serve it either using: ```bash npx static-handler _output/ ``` or: ```bash jupyter lite serve ``` To enable use of SharedArrayBuffer rather than ServiceWorker for `stdin` you will have to configure your server to add the `Cross-Origin-Embedder-Policy` and `Cross-Origin-Opener-Policy` headers. Do this using either: ```bash npx static-handler --cors --coop --coep --corp _output/ ``` or: ```bash jupyter lite serve --LiteBuildConfig.extra_http_headers=Cross-Origin-Embedder-Policy=require-corp --LiteBuildConfig.extra_http_headers=Cross-Origin-Opener-Policy=same-origin ``` ### Packaging the extension See [RELEASE](RELEASE.md)