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Development Environment

caution

🚨 Only Yarn v3 is supported - npm, pnpm, npm v1... will not work, this is due to JupyterLab requirements.

Create a .yarnrc.yml file in the root of your project to use node_modules.

enableImmutableInstalls: false
enableInlineBuilds: false
enableTelemetry: false
httpTimeout: 60000
nodeLinker: node-modules
npmRegistryServer: "https://registry.yarnpkg.com"

# This will fix the build error with @lerna/legacy-package-management
# See https://github.com/lerna/repro/pull/11
packageExtensions:
  "@lerna/legacy-package-management@*":
    dependencies:
      "@lerna/child-process": "*"
      "js-yaml": "*"
      "rimraf": "*"
    peerDependencies:
      "nx": "*"

Choose the way you want to develop Jupyter UI:

  1. With Conda
  2. With VS Code Devcontainers

Once you have applied the steps described in one of the above 2 options, you are ready to develop following the next steps.

# Install the dependencies. This will take some time, be patient. 👍
npm install
# Build the source code. This will also take some time, be also patient. 🙂
npm run build

If you just want to develop the core package @datalayer/jupyter-react of the repository, go to the sub folder and work there.

cd packages/react
npm run build