This is a novel standalone frontend for OpenML, built on Flask, React, and Dash.
The React files are in src/client/app. From there, run npm install to install the required packages.
Then, build the production app by running
npm run build
Or, for development (with hot-loading), run
npm run start
If you haven't already, install Flask with pip install Flask.
Start the service with:
python server.py
You should now see it running in your browser at:
localhost:5000
We welcome all contributions to:
- Style and layout
- Data visualizations
- Search functionality
- Bugfixes and open issues
If you want to contribute new features, or you need additional functionality from the OpenML server, please open an issue.
The frontend mainly works on data from an ElasticSearch index of OpenML data. Additional interactions with an OpenML backend (e.g. dataset upload) go via the OpenML REST API
This code is currently underdocumented. We are working on this. Feel very free to open issues to ask questions!