How to use Matplotlib for Haskell in IHaskell

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  • ihaskell

    A Haskell kernel for the Jupyter project.

  • That looks like a generic front-end error for when the back-end is unavailable, the back-end error should be more informative, but I don't know where exactly you can find it. At this point it might make sense to open an issue on the issue tracker of IHaskell, they will be able to give you more useful answers.

  • jupyenv

    Declarative and reproducible Jupyter environments - powered by Nix

  • You could look into jupyterWith. With that you can list the packages you want to use in a shell.nix file; based on this file an environment is created in which Jupyter is run. I've also had issues with using packages with regular IHaskell in the past, but jupyterWith works pretty well for me.

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    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • matplotlib

    Haskell bindings for Python's Matplotlib

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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