pipes-kafka VS streamly

Compare pipes-kafka vs streamly and see what are their differences.

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pipes-kafka streamly
- 8
8 851
- 0.8%
0.0 9.6
over 6 years ago 14 days ago
Haskell Haskell
MIT 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.

pipes-kafka

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

We haven't tracked posts mentioning pipes-kafka 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 pipes-kafka and streamly you can also consider the following projects:

pipes-network - Use network sockets together with the Haskell pipes library.

stm-conduit - STM-based channels for conduits.

pipes-network-tls - Use TLS-secured network sockets together with the Haskell pipes library.

pipes-concurrency - Concurrency for the pipes ecosystem

pipes-network-ws

restricted-workers - Interactive-diagrams

conceit - Concurrently + Either

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

lvish - The LVish Haskell library

async - Run IO operations asynchronously and wait for their results

ctrie - Non-blocking concurrent hashmap for Haskell

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