Open Source Haskell Software - Page 5

Common Haskell code for other semantic.org projects, and other useful things.

HLearn is a Haskell-based machine learning library focused on composability, algebraic structure, and performance. It provides a functional approach to building machine learning algorithms by leveraging algebraic properties such as monoids and groups. This allows for parallel, incremental, and distributed computation in a mathematically consistent way. HLearn aims to provide implementations of common algorithms like k-means, naive Bayes, and others while maintaining the expressiveness and safety of the Haskell language.

HLint is a linter for Haskell that suggests stylistic improvements and potential simplifications in Haskell code. It parses Haskell source files and provides hints to refactor code for better readability, maintainability, or performance. HLint is highly configurable and supports custom rules, integrations with CI tools, and editor plugins. It is widely used in the Haskell ecosystem for maintaining consistent code standards.

A Haskell to Objective-C binding. Allows access to Apple's Cocoa API from the non-strict functional programming language Haskell.

HSDL is a Haskell binding to the well known Simple Directmedia Layer (SDL) library including bindings to SDL_gfx, SDL_image and SDL_ttf.

HScheme is a Scheme interpreter written in Haskell, available as both interactive interpreter and extension library for other Haskell projects. Think 'Guile for Haskell'.

HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications. By subscribing to streams in HStreamDB, any update of the data stream will be pushed to your apps in real-time, and this promotes your apps to be more responsive. You can also replace message brokers with HStreamDB and everything you do with message brokers can be done better with HStreamDB. HStreamDB provides built-in support for event time-based stream processing. You can use your familiar SQL to perform basic filtering and transformation operations, statistics and aggregation based on multiple kinds of time windows and even joining between multiple streams. With connectors provided, you can easily integrate HStreamDB with other external systems, such as MQTT Broker, MySQL, Redis and ElasticSearch. More connectors will be added.

HaLVM is a Haskell-based unikernel system that lets you write entire virtual machines in Haskell and run them directly on a hypervisor, traditionally Xen. Instead of deploying a full operating system, you compile a Haskell program into a tiny image that boots as its own VM, which reduces the attack surface and startup time. The project adapts GHC and the Haskell runtime to a minimal environment, providing the I/O, networking, and memory facilities necessary for standalone services. Its design encourages highly isolated services—each VM does one job—making it attractive for security-sensitive components and research on microservice-style architectures. Developers get to keep Haskell’s strong typing, concurrency abstractions, and functional style while targeting bare virtual hardware. Although device support is intentionally narrow compared to general-purpose OSes, the trade-off is predictability and very small, auditable deployments.

Hakyll is a Haskell library for building static websites. It uses a highly configurable domain-specific language (DSL) embedded in Haskell, enabling users to define content compilation pipelines in code. It’s ideal for blogs and small-to-medium websites, with support for Markdown, Pandoc, and syntax highlighting. Hakyll is a static site generator library in Haskell. More information (including a tutorial) can be found on the Hakyll homepage. You can install this library using cabal. If Stack fails, please see which Stackage snapshots contain Hakyll and specify one explicitly.

A small command-line calculator, written in Haskell, that takes input like "14+(12+24)/(8.5-2.5)" and prints out the result. It's nothing special really, just a little project I did to learn Haskell.

The project is an implementation of DSP and related algorithms in the programming language Haskell.

A smarter Dockerfile linter that helps you build best practice Docker images. The linter parses the Dockerfile into an AST and performs rules on top of the AST. It stands on the shoulders of ShellCheck to lint the Bash code inside RUN instructions. You can run hadolint locally to lint your Dockerfile. You can download prebuilt binaries for OSX, Windows and Linux from the latest release page. However, if this does not work for you, please fall back to container (Docker), brew or source installation. Configuration files can be used globally or per project.

A tool that auto-generates Haskell FFI declarations by parsing a C header file.

This project aims to be the universal interface to a growing number of Haskell tools, providing a fully-featured Language Server Protocol server for editors and IDEs that require Haskell-specific functionality. Supports plain GHC projects, cabal projects(sandboxed and non sandboxed) and stack projects. Fast due to caching of compile info. Uses LSP, so should be easy to integrate with a wide selection of editors. Diagnostics via hlint and GHC warnings/errors. Code actions and quick fixes via apply-refact. Type information and documentation(via haddock) on hover. Jump to definition.

Haskell Internationalisation Effort

Haskell Toolkit for GUI. HSQL has moved to http://code.haskell.org/HSQL/

The Haskell Web Publisher shall allow website implementation using the functional programming language Haskell. Thereby, accuracy of URIs, data validity, and compliance to security restrictions shall be assured by compiler checks.

This is a set of scripts for Project Management implemented in Haskell

We extend the Eclipse IDE with tools for development in Haskell, a functional programming language, providing support for a wide range of tools (compilers, interpreters, doc tools etc.) in a coherent, convenient and configurable environment.

HaskellDB is a Haskell library for expressing database queries and operations in a type safe and declarative way.

Haskelloid is an Arkanoid-Clone written in the functional programming language Haskell.

Hasktorch is a powerful Haskell library for tensor computation and neural network modeling, built on top of libtorch (the backend of PyTorch). It brings differentiable programming, automatic differentiation, and efficient tensor operations into Haskell’s strongly typed functional paradigm. This project is in active development, so expect changes to the library API as it evolves. We would like to invite new users to join our Hasktorch discord space for questions and discussions. Contributions/PR are encouraged. Hasktorch is a library for tensors and neural networks in Haskell. It is an independent open source community project which leverages the core C++ libraries shared by PyTorch.

A compiler to generate JavaScript code from Haskell. It even has a website and a mailing list. Seamless, type-safe single program framework for client-server communication. Support for modern web technologies such as WebSockets, WebStorage and Canvas. Simple JavaScript interoperability. Generates small, fast programs. Supports all GHC extensions except Template Haskell. Uses standard Haskell libraries. Cabal integration, simple, one-step build; no need for error prone Rube Goldberg machines of Vagrant, VirtualBox, GHC sources and other black magic. Concurrency and MVars with Haste.Concurrent. Unboxed arrays, ByteArrays, StableNames and other low level features. Low-level DOM base library. You have three options for getting Haste: installing from Hackage, from Github or from one of the pre-built binary packages.

Hasura is an open-source product that accelerates API development by 10x by giving you GraphQL or REST APIs with built-in authorization on your data, instantly. Run Hasura, locally or in the cloud, and connect it to your new or existing databases to instantly get a production-grade GraphQL API. Developers and architects love Hasura because it takes no time to get started, doesn’t need them to be a GraphQL expert upfront, and saves their teams months of recurring effort in building, shipping, and maintaining their APIs. Hasura’s built-in RLS style authorization engine allows you to conveniently specify authorization rules at a model level, and safely expose the GraphQL API to developers inside or outside your organization. Hasura’s authz engine is enabling agile teams in fast-growing startups as well as powering mission-critical data access in highly regulated environments such as Fortune 500 healthcare, financial services and US federal agencies.

Haxl is a Haskell library that simplifies access to remote data, such as databases or web-based services. Haxl can automatically batch multiple requests to the same data source, request data from multiple data sources concurrently, cache previous requests, and memoize computations. Having all this handled for you behind the scenes means that your data-fetching code can be much cleaner and clearer than it would otherwise be if it had to worry about optimizing data-fetching. To use Haxl in your own application, you will likely need to build one or more data sources: the thin layer between Haxl and the data that you want to fetch, be it a database, a web API, a cloud service, or whatever. There is a generic datasource in "Haxl.DataSource.ConcurrentIO" that can be used for performing arbitrary IO operations concurrently, given a bit of boilerplate to define the IO operations you want to perform.