pipes VS pipes-async

Compare pipes vs pipes-async and see what are their differences.

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pipes pipes-async
1 -
486 5
- -
0.0 0.0
almost 2 years ago almost 6 years 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.

pipes

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

pipes-async

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

We haven't tracked posts mentioning pipes-async yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing pipes and pipes-async you can also consider the following projects:

machines - Networks of composable stream transducers

pipes-fluid - Applicative instances that allows reactively combining 'Pipes.Producer's so that a value is yielded when either Producer yields a value. This can be used to create a FRP-like reactive signal-network.

pipes-core - Compositional pipelines

pipes-category - Allows instances for Category, Arrow and ArrowChoice for 'Pipes.Pipe' using newtypewrapper 'Shaft'

disposable

pipes-transduce - Grab-bag of functions for interfacing pipes with foldl folds.

pipes-conduit - Pipe utilities

pipes-extras - Miscellaneous utilities for pipes

pipes-group - Group streams into substreams

pipes-zeromq4 - Haskell Pipes integration for ZeroMQ

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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.
www.influxdata.com
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