piped alternatives and similar packages
Based on the "Control" category.
Alternatively, view piped alternatives based on common mentions on social networks and blogs.
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transient
A full stack, reactive architecture for general purpose programming. Algebraic and monadically composable primitives for concurrency, parallelism, event handling, transactions, multithreading, Web, and distributed computing with complete de-inversion of control (No callbacks, no blocking, pure state) -
selective
Selective Applicative Functors: Declare Your Effects Statically, Select Which to Execute Dynamically -
auto
Haskell DSL and platform providing denotational, compositional api for discrete-step, locally stateful, interactive programs, games & automations. http://hackage.haskell.org/package/auto -
ComonadSheet
A library for expressing "spreadsheet-like" computations with absolute and relative references, using fixed-points of n-dimensional comonads. -
transient-universe
A Cloud monad based on transient for the creation of Web and reactive distributed applications that are fully composable, where Web browsers are first class nodes in the cloud -
monad-validate
DISCONTINUED. (NOTE: REPOSITORY MOVED TO NEW OWNER: https://github.com/lexi-lambda/monad-validate) A Haskell monad transformer library for data validation -
distributed-process-platform
DEPRECATED (Cloud Haskell Platform) in favor of distributed-process-extras, distributed-process-async, distributed-process-client-server, distributed-process-registry, distributed-process-supervisor, distributed-process-task and distributed-process-execution -
effect-monad
Provides 'graded monads' and 'parameterised monads' to Haskell, enabling fine-grained reasoning about effects. -
ixmonad
Provides 'graded monads' and 'parameterised monads' to Haskell, enabling fine-grained reasoning about effects.
InfluxDB - Purpose built for real-time analytics at any scale.
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README
Piped
Piped is a is a performant coroutine based steaming library with minimal dependencies.
It was built as a learning exercise and to test the idea of a streaming library without using a sum type to represent state changes. It owes alot to Conduit; the contination passing monad, the default behaviours (demand driven, auto terminating), plus the major part of it's API.
Features
- Depends only on
base
andmtl
. - Flexible composition; demand or supply driven, plus different termination modes.
- Pipes are resumable.
- Composable with existing Conduit pipes using
fromConduit
in piped-conduit.
Quickstart
For now, familiarity with Conduit is assumed, since documentation is not extensive.
import Piped
import qualified Piped.Prelude as P -- for map, foldl, takeWhile and friends
runPiped $ sourceList [1,2,3] .| P.map (+1) .| sinkList
Performance
There isn't a huge difference in performance for small pipelines. Maybe up to about 15% in some cases. However, once you have more stages (source-pipe-pipe-sink) or more, there is a large margin, about 50%. Of course, unless your application is shuttling millions of events per second it doens't make alot of difference, in practice.