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Datalayer on the Edge

Datalayer allows you to create custom Open Science Platform for various cases listed on this page. Our platform is Cloud native, 100% compatible with Jupyter and WEB developer friendly.

This documentation site uses visuals from the Datalayer TECH Storybook. The Storybook provides comprehensive visual and architecture design for the available components.

This section details the components you can use on the edge (web application, fat clients.. on personal computers, mobiles, tablets...)

Contribute

If you don't have access to the Jupyter Kernels repository, please contact us for support.

Report a problem

Open an issue on the Jupyter Kernels repository, or on the Datalayer community repository, with the description of the problem you are facing.

Request a feature

Open issues on the Jupyter Kernels repository, or on the Datalayer community repository, with the description of the feature you are requesting.

Develop

Use the metarepo to setup your environment.

Once you are up-and-running with the metarepo, you can develop wit the following commands.

pip install -e .[test]
jupyter labextension develop . --overwrite
jupyter labextension list
jupyter server extension list
yarn jupyterlab