threaded VS streamly

Compare threaded vs streamly and see what are their differences.

threaded

Manage concurrently operating threads without having to spark them (by athanclark)
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threaded streamly
0 8
0 800
- 1.3%
0.0 9.8
over 3 years ago 6 days ago
Haskell Haskell
BSD 3-clause "New" or "Revised" License BSD 3-clause "New" or "Revised" License
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.

threaded

Posts with mentions or reviews of threaded. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning threaded yet.
Tracking mentions began in Dec 2020.

streamly

Posts with mentions or reviews of streamly. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-25.

What are some alternatives?

When comparing threaded and streamly you can also consider the following projects:

stm-conduit - STM-based channels for conduits.

pipes-concurrency - Concurrency for the pipes ecosystem

restricted-workers - Interactive-diagrams

conceit - Concurrently + Either

async - Run IO operations asynchronously and wait for their results

haxl - A Haskell library that simplifies access to remote data, such as databases or web-based services.

lvish - The LVish Haskell library

unagi-chan - A haskell library implementing fast and scalable concurrent queues for x86, with a Chan-like API

ctrie - Non-blocking concurrent hashmap for Haskell

lifted-async - Run lifted IO operations asynchronously and wait for their results

heartbeat-streams - Heartbeats for io-streams

async-dejafu - Systematic concurrency testing meets Haskell.