Parallel streaming in Haskell: Part 1 – Fast, efficient, and fun

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
  • attoparsec-conduit

    A streaming data library

  • > makes me think that there aren't any conduits that have more data than can fit in memory on a single machine

    Just because you can dedup a conduit doesn't mean you have to. We use conduits for streaming gigabytes-large files while staying within megabytes of memory use – ensuring that is one of the main selling points of libraries like conduit: https://github.com/snoyberg/conduit#readme

  • FS2

    Compositional, streaming I/O library for Scala

  • Thanks for the explanation!

    So it's pull based and not push based like most other streams lib.

    Does maybe someone know how this compares to FS2 or Iteratees than? (Both are also pull based streaming solutions).

    https://fs2.io/#/

    https://en.wikipedia.org/wiki/Iteratee

    Looks quite similar to me. Is the Scala FS2 lib maybe even a clones of the Haskell solution? Or are they different in important aspects?

  • 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