learn-you-a-haskell VS post-rfc

Compare learn-you-a-haskell vs post-rfc and see what are their differences.

learn-you-a-haskell

“Learn You a Haskell for Great Good!” by Miran Lipovača (by pvorb)

post-rfc

Blog post previews in need of peer review (by Gabriella439)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
learn-you-a-haskell post-rfc
77 27
294 2,186
- -
0.0 2.3
over 1 year ago 8 months ago
Makefile
- Creative Commons Attribution 4.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

learn-you-a-haskell

Posts with mentions or reviews of learn-you-a-haskell. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-15.

post-rfc

Posts with mentions or reviews of post-rfc. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-03.
  • Haskell in Production: Standard Chartered
    2 projects | news.ycombinator.com | 3 May 2023
    That's what it's best for, but personally I use it for everything. If I ever get into low-level code I'll probably use Rust though.

    You can confirm that parsers/tokenizers is ranked "best in class" here though:

    https://github.com/Gabriella439/post-rfc/blob/main/sotu.md

  • Recommendations for well informed, up-to-date guide to Haskell backend engineering
    2 projects | /r/haskell | 11 Mar 2023
    Note that this is ported from here: https://github.com/Gabriella439/post-rfc/blob/main/sotu.md which comes with more exposition.
  • I want to learn Haskell, but...
    5 projects | /r/haskell | 12 Feb 2023
    State of the Haskell Ecosystem
  • Why are haskell applications so obscure?
    7 projects | /r/haskell | 10 Jan 2023
    According to State of the Haskell ecosystem, Haskell is THE language of choice for implementing compilers, and THE language of choice for writing parsers. Thus, it is not surprising to see more Haskell projects from those particular categories than from other categories.
  • base case
    2 projects | /r/haskell | 19 Dec 2022
    This is great for understanding what libraries to use in the Haskell ecosystem: https://github.com/Gabriella439/post-rfc/blob/main/sotu.md
  • Haskell for beginners
    3 projects | /r/haskell | 30 Nov 2022
    In particular, I got comfortable reading hackage documentation to understand quickly how to use libraries (aeson, megaparsec, mtl, pipes, etc), got comfortable with the ecosystem (this helped: https://github.com/Gabriella439/post-rfc/blob/main/sotu.md), got comfortable with the main language idioms and features (https://smunix.github.io/dev.stephendiehl.com/hask/tutorial.pdf) and got comfortable with simple things that for some reason had confused me before (case, \case, let).
  • What can I do in Haskell? UwU
    8 projects | /r/haskell | 16 Nov 2022
  • Haskell for Artificial Intelligence?
    6 projects | /r/haskell | 30 May 2022
    With that being said, Python is without a doubt the best option, and I'd also be very interested to read the articles you found that say that Python is not a good choice because it's been the industry standard for a long time now. Data science and machine learning are one of the areas where the Haskell ecosystem is not as strong as other languages, but libraries and tools do exist. There's a great list of Haskell resources by domain here, and as you can see, there are Haskell bindings to tensorflow and pytorch, along with other libraries that support common data science programming.
  • Haskell - Important Libraries
    11 projects | /r/haskell | 24 Mar 2022
    State of the Haskell Ecosystem lists libraries for many of its domains.
  • What are the current challenges in Numerical Programming for Haskell?
    4 projects | /r/haskell | 15 Mar 2022
    Recently saw this repo that shows the state of Haskell in a lot of programming applications. It classifies it as Immature for Numerical Programming; I would like to know what are the challenges in it.

What are some alternatives?

When comparing learn-you-a-haskell and post-rfc you can also consider the following projects:

learn4haskell - 👩‍🏫 👨‍🏫 Learn Haskell basics in 4 pull requests

plutus-pioneer-program - This repository hosts the lectures of the Plutus Pioneers Program. This program is a training course that the IOG Education Team provides to recruit and train software developers in Plutus, the native smart contract language for the Cardano ecosystem.

coq - Coq is a formal proof management system. It provides a formal language to write mathematical definitions, executable algorithms and theorems together with an environment for semi-interactive development of machine-checked proofs.

ihp - 🔥 The fastest way to build type safe web apps. IHP is a new batteries-included web framework optimized for longterm productivity and programmer happiness

learn-you-a-haskell-notebook - Jupyter adaptation of Learn You a Haskell for Great Good!

algebra-driven-design - Source material for Algebra-Driven Design

integrant - Micro-framework for data-driven architecture

inline-js - Call JavaScript from Haskell, and vice versa!

developer-portal - The Cardano Developer Portal

hackage-server - Hackage-Server: A Haskell Package Repository

envy - :angry: Environmentally friendly environment variables