Libraries written or supported by members of the DataHaskell team.

Notebooks

  • IHaskell Hackage ihaskell : IHaskell is a kernel for the Jupyter project, which allows you to use Haskell inside Jupyter frontends (including the console and notebook).

    Maintainers: Vaibhav Sagar

Machine Learning

Neural Networks

  • hasktorch Hackage hasktorch : Hasktorch is a library for tensors and neural networks in Haskell.

    Maintainers: Junji Hashimoto

Publication

  • pandoc-plot Hackage pandoc-plot: A Pandoc filter to include figures generated from code blocks. Keep the document and code in the same location.

    Maintainers: Laurent P. René de Cotret

Data structures

Data frames

  • dataframe Hackage dataframe : A fast, safe, and intuitive DataFrame library.

    Maintainers: Michael Chavinda