Why Learn Haskell?

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
  • gleam

    ⭐️ A friendly language for building type-safe, scalable systems!

  • +1 for Elixir. If you like Rust syntax, you should also check out [Gleam], it compiles to Erlang and had full interop w/ Erlang/Elixir.

    [Gleam]: https://gleam.run/

  • Shapeless

    Generic programming for Scala

  • I'm not sure where is the line between extensive and basic knowledge. Here is my more detailed exposure:

    In commercial context:

    * Of strongly typed ones only Scala (with [shapeless]). Can reluctantly throw in Kotlin as well for it's amazing structured concurrency.

    In non-commercial context:

    * Went through a few chapters of [Software Foundations] doing Coq proofs.

    * Worked through most of the [Types and Programming Languages] (writing typecheckers in Ocaml)

    * 3 services in Haskell (1 on Scotty, 2 on Servant). Loved persistent+esqueleto for the ORM layer, disliked Opaleye.

    * 2 projects in PureScript (1 with Halogen, 1 with React bindings).

    * 1 project in ReasonML (Ocaml).

    -

    > I am afraid there is no way back for me

    I see where you are coming from. In my case I can alternate between "I want all invariants properly expressed and checked" and "I just want to ship that barely-working piece of junk and iterate on it". I learned to adjust depending on organization needs. IMO, for many orgs, especially startups/scaleups, the latter is often the more fitting way. With that in mind, I'm willing to trade the guiding hand of great type systems for other productivity aspects (amazing runtime and cohesive web framework in Elixir's case).

    [shapeless]: https://github.com/milessabin/shapeless

    [Software Foundations]: https://softwarefoundations.cis.upenn.edu/

    [Types and Programming Languages]: https://www.cis.upenn.edu/~bcpierce/tapl/

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
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.

Suggest a related project

Related posts