DataHaskell

Welcome to the dataHaskell documentation page.

DataHaskell is:

  • A collaborative network of maintainers, users, researchers, and educators.
  • A curated ecosystem of libraries for data access, numerics, ML, visualization, and tooling.
  • A supportive space to learn, teach, and build together.

We coordinate work across many projects and orgs. You don’t have to be an expert—curiosity is enough.

How to Participate

Pick a path that suits your energy and time:

  • Ask & answer questions: help someone today in Discord or Discourse.
  • Improve docs: fix a typo, add an example, or clarify a concept.
  • Triage issues: label, reproduce, and suggest next steps.
  • Build examples: small, runnable notebooks or scripts showcasing a pattern.
  • Propose an initiative: open an RFC for a cross‑project improvement.