How to use Matplotlib for Haskell in IHaskell

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/haskell
#Development #Graphics #Jupyterlab #Nix #Haskell

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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.

  • jupyterWith

    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.

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • matplotlib

    Haskell bindings for Python's Matplotlib

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