The Mito Spreadsheet
Project description
# mitosheet
![Github Actions Status](https://github.com/mito/mito/workflows/Build/badge.svg)
The Mito Spreadsheet
## Requirements
JupyterLab >= 3.0
## Install
`bash pip install mitosheet `
## 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 mitosheet 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 run 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 run watch # Run JupyterLab in another terminal jupyter lab `
With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).
By default, the jlpm run build command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:
`bash jupyter lab build --minimize=False `
### Uninstall
`bash pip uninstall mitosheet `
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