Monthly Hask Anything (July 2022)

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/haskell

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  • jordan

    Abstract, inspectable JSON representation of Haskell objects

    I'm having some trouble getting GHC to use a quantified constraint in my library jordan (Link is to the specific PR where the issue is arising, and is very much a WIP).

  • dependent-sum

    Dependent sums and supporting typeclasses for comparing and displaying them

    What is the dependent-sum library for? I must be missing something subtle, because it looks like an over-complicated sum type?

  • 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.

  • learnyouahaskell.github.io

    A community version of the renowned "Learn You a Haskell" (LYAH) tutorials collection!

    I'm just under halfway through LYAH and I have to say, it's not clicking at all. I can't put my finger on it but I feel like I'm not learning much.

  • bytestring

    An efficient compact, immutable byte string type (both strict and lazy) suitable for binary or 8-bit character data.

    If you bring in efficient strings from bytestring, densely packed arrays from vector, and an in-place sort from vector-algorithms, you can bring it down to 275ms (uses 19MB of mem).

  • obelisk

    Functional reactive web and mobile applications, with batteries included.

    I can't speak to the nicest way, as I haven't actually developed any Android apps with Haskell, but I've been meaning to give Obelisk a try.

  • monad-bayes

    A library for probabilistic programming in Haskell.

    source-repository-package type: git location: https://github.com/tweag/monad-bayes.git

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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