For upgrading to streamly-0.9.0+ please read the
<https://github.com/composewell/streamly/blob/streamly-0.10.0/docs/User/Project/Upgrading-0.8-to-0.9.md Streamly-0.9.0 upgrade guide>.

Streamly is a standard library for Haskell that focuses on C-like
performance, modular combinators, and streaming data flow model.
Streamly consists of two packages, the
<https://hackage.haskell.org/package/streamly-core streamly-core> package
provides functionality that depends only on boot libraries, and
the <https://hackage.haskell.org/package/streamly streamly> package
provides additional functionality like concurrency, time, lifted
exceptions, and networking.  For unified documentation visit
<https://streamly.composewell.com the streamly website>.

Streamly provides unified, modular building blocks to build
high-performance, concurrent, scalable applications in Haskell.  Stream
fusion optimizations in streamly enable exceptional modularity with
high performance comparable to C. Streamly complements the Haskell
<https://hackage.haskell.org/package/base base> package, supplying
additional functionality to quickly build general-purpose applications
in Haskell. For high-level functionality built over streamly like
streaming OS processes, shell programming, GNU coreutils,
statistics, and compression libraries please see the
<https://streamly.composewell.com/ecosystem.html streamly ecosystem packages>.

Performance with modularity:

* Performance on par with C (<https://github.com/composewell/streaming-benchmarks Benchmarks>)
* API close to standard Haskell lists (<https://github.com/composewell/streamly-examples Examples>)
* Declarative concurrency with automatic scaling
* Filesystem, fsnotify, network, and Unicode support included
* Fast binary serialization (with optional JSON like features)
* More functionality is provided via many (<https://streamly.composewell.com/ecosystem.html ecosystem packages>)

Unified and powerful abstractions:

* Unifies streams, arrays, folds, and parsers
* Unifies @Data.List@, @list-t@, and @logict@ with streaming
* Unifies concurrency with standard streaming abstractions
* Unifies reactive, time-domain programming with streaming
* Unifies binary serialization and unboxed arrays
* Interworks with other streaming libraries