Welcome to the dataHaskell documentation page.
Here you can find an annotated selection of links to data science and machine learning libraries, as well as overviews and benchmarks of selected libraries (such as HMatrix and vector).
We also provide some tutorial resources for your convenience: a Haskell style guide for contributing with code, the Haskell.do installation guide and guidelines for for contributing to the documentation.
This is a collaborative effort, so we look forward to your comments and participation ! Don’t be shy and send us a pull request