Hoogle Search
Within LTS Haskell 24.35 (ghc-9.10.3)
Note that Stackage only displays results for the latest LTS and Nightly snapshot. Learn more.
-
Determine the size of some common image formats. Currently supports PNG, GIF, and JPEG. This package provides a Sink that will consume the minimum number of bytes necessary to determine the image dimensions.
-
Build a pool of queue-processing worker threads. immortal-queue is a library for build an asynchronous worker pool that processes action from a generic queue. You can use any thread-safe datatype with a push and pop like a TQueue or a persistent database table. The worker pool is configured by building an ImmortalQueue type, which describes how to push and pop from the queue as well as how to process items and handle errors. For a simple usage example using a TQueue, see the module documentation. For a more complex example that uses a persistent database as a queue, see Southern Exposure's website code.
-
A GHC plugin for automatically importing modules. Imp is a GHC plugin for automatically importing modules.
-
incremental update library Generic interface for incremental updates
-
indentation sensitive parser-combinators for parsec This library provides functions for use in parsing indentation sensitive contexts. It parses blocks of lines all indented to the same level as well as lines continued at an indented level below.
-
Haskell98 indexed functors, monads, comonads Haskell98 indexed functors, monads, comonads
-
Simple, no-frills indexed lists. If the lengths of your lists are known statically, using indexed lists improves type safety with no runtime overhead.
-
InfluxDB client library for Haskell influxdb is an InfluxDB client library for Haskell. See Database.InfluxDB for a quick start guide.
-
Lets you embed C++ code into Haskell. Utilities to inline C++ code into Haskell using inline-c. See tests for example on how to build.
-
Checked conversions between integral types Provides statically or dynamically checked conversions between integral types. See documentation in Data.IntCast for more details.