datalab documentation¶
datalab is a user-friendly, open-source platform that can capture all the experimental data and metadata produced in a scientific lab, targeted (broadly) at materials chemistry but with customisability and extensability in mind. datalab records data and metadata securely and makes it accessible and reusable by both humans and machines via the web UI and API, respectively. datalab can be self-hosted and managed deployments are also available.
If you have never seen datalab before, the quickest introduction is to try the public demo instance; for background on the project itself, see About datalab.
Every datalab is different
datalab can be self-hosted and is extensible via plugins, so no two deployments are alike. These docs primarily describe the upstream project, rather than a specific datalab instance.
Where to go next¶
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For users
Using a datalab instance: recording samples and cells, attaching data, and getting your data back out again.
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For developers
Extending datalab with your own blocks and plugins, or contributing to the core server and web app.
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For deployments
Deploying and administering an instance for your group or others.
Getting help¶
- Join the public datalab Slack workspace to ask questions and hear about releases.
- Report bugs and request features on GitHub.
- Managed deployments and consultancy are available from datalab industries ltd. — hello@datalab.industries.