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 Stream.
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 Kiselyov.