Streaming abstractions that combine, transform and reduce large amounts of
sequential data efficiently, in constant space and without leaking resources.
Streaming uses composable stream producers (sources), consumers (sinks) and
transformers (flows). The central model that abstracts over them is a
The following features are provided:
Constant memory usage: large or infinite streams can be computed in constant
and small space. Buffering of the input is possible when needed.
Excellent performance: all models were designed with performance at the
core. See benchmarks for detailed
comparison with other libraries.
Resource safety: resources in effectful streaming pipelines are allocated
lazily and released as early as possible. Resources are guaranteed to
be terminated even when streams rise exceptions.
Flexibility: both push-based and pull-based models are implemented to
allow efficient zipping, concatenation and other streaming operations.
Streaming notation: build streams and sinks using a convenient
comprehension and applicative notations.
Read the library documenation for more details.
This library is based on ideas found in other libraries and research projects
such as: Haskell's Pipes
and Foldl libraries,
Scala's ZIO Streams, Clojure's
Transducers and the
Iteratees streaming model by Oleg