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Elixir Software Development Software

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  • 1
    Broadway

    Broadway

    Concurrent and multi-stage data ingestion and data processing

    Broadway is a data processing library for Elixir designed to handle high-throughput, concurrent workloads with ease. It provides an abstraction for defining pipelines that consume data from sources like RabbitMQ, Kafka, Amazon SQS, or custom producers. Each pipeline is fault-tolerant and backpressure-aware, ensuring stable throughput even under load. The library integrates seamlessly with GenStage and OTP supervision trees, making it highly resilient in production. Developers can enrich pipelines with batching, concurrency control, and metrics reporting, simplifying the management of complex data ingestion and processing systems. Broadway is often used for event processing, stream handling, and background jobs, offering both performance and clarity in Elixir’s functional style.
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  • 2
    Cachex

    Cachex

    A powerful caching library for Elixir with support for transactions

    Cachex is a high-performance in-memory caching library for Elixir, offering a robust feature set including expirations, size limits, hooks, fallbacks, async operations, and clustering capabilities. The version 4.x release brought optimized janitor routines, modular streaming and querying, runtime cache warming, size pruning (LRW/LRU), distributed routing mechanisms, and a major documentation overhaul. It integrates seamlessly with Elixir applications via mix dependencies, supports advanced transactional use cases, and includes utilities for distributed node clusters.
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  • 3
    Changelog.com

    Changelog.com

    Changelog makes world-class developer pods

    This is the open-source codebase for Changelog, a popular podcast and media site for software developers. Built with Elixir and the Phoenix framework, it serves as a real-world example of a production-grade Phoenix application. The app powers the site’s content publishing, episode distribution, and user interactions, including subscriptions and comments. It emphasizes maintainability and transparency, with clear code structure, tests, and CI/CD workflows. Because the repository is open, developers can study its architecture to learn how Phoenix is used in practice for a high-traffic, media-centric website. It also showcases integration with external services for things like audio hosting, search, and analytics, making it an instructive case study for full-stack Elixir development.
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  • 4
    Desktop

    Desktop

    Building Local-First apps for Windows, MacOS, Linux, iOS and Android

    desktop enables building cross-platform desktop applications with Elixir by pairing a Phoenix/LiveView UI with a native webview shell. The approach keeps application logic on the BEAM—supervised, fault-tolerant, and hot-reload-friendly—while rendering an HTML/CSS/JS interface inside the system’s embedded browser engine. It offers conveniences for packaging and distribution on Windows, macOS, and Linux, including app metadata, icons, and startup integration. The library exposes desktop-specific affordances such as system tray menus, window management, and notifications, so applications feel native rather than like generic web wrappers. Because LiveView drives the UI, state lives on the server process, enabling real-time updates without heavy client frameworks. The result is a productive stack for tools, dashboards, and utilities where Elixir’s concurrency and resilience shine on the desktop. Teams get to reuse their Phoenix skills and still ship a polished native app experience.
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  • 5
    Dialyxir

    Dialyxir

    Mix tasks to simplify use of Dialyzer in Elixir projects

    Mix tasks to simplify use of Dialyzer in Elixir projects. Elixir 1.6 is required, to support the new pretty printing feature. If your project is not yet on 1.6, continue to specify 0.5 in your mix deps. Warning messages have been greatly improved, but are filtered through the legacy formatter to support your existing ignore files. You can optionally use the new Elixir term format for ignore files. You may want to use the --format short argument in your CI pipelines. There are several formats, also there is a new explain feature - for details see CLI options. If you are planning to use Dialyzer with an application built with the Phoenix Framework, check out the Quickstart wiki. Use dialyxir from the directory of the mix project you want to analyze; a PLT file will be created or updated if required and the project will be automatically compiled.
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  • 6
    Distillery

    Distillery

    Simplify deployments in Elixir with OTP releases

    Distillery is a release manager for Elixir applications, designed to package apps into self-contained, deployable artifacts. It automates the process of building OTP releases, handling steps like compilation, dependency bundling, and generating start/stop scripts. Releases built with Distillery include everything needed to run an Elixir app in production, even on machines without Elixir or Erlang installed. It also supports features like configuration providers, hot upgrades, and customizable release pipelines. By managing environment-specific settings, it simplifies deploying the same app to different systems without manual reconfiguration. Distillery has historically been a key tool for production Elixir deployments before Elixir added built-in release functionality, and it remains valuable for teams seeking flexibility in their deployment workflows.
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  • 7
    Elchemy

    Elchemy

    Write Elixir code using statically-typed Elm-like syntax

    Elchemy lets you write simple, fast, and quality-type safe code while leveraging both the Elm's safety and Elixir's ecosystem. Elchemy is a set of tools and frameworks, designed to provide a language and an environment as close to Elm programming language as possible, to build server applications in a DSL-like manner for Erlang VM platform, with a readable and efficient Elixir code as an output. ML-like syntax maximizes expressiveness with additional readability and simplicity constraints. Tagged union types and type aliases with type parameters (aka generic types). Powerful type inference means you rarely have to annotate types. Everything gets checked for you by the compiler. The produced code is idiomatic, performant and can be easily read and analyzed without taking a single look at the original source. Elchemy's type system eliminates almost all runtime errors. .
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  • 8
    Elixir Companies

    Elixir Companies

    A list of companies currently using Elixir in production

    elixir-companies is a community-maintained directory of organizations that use Elixir in production. It serves both as a discovery tool for developers curious about who is adopting the language and as a hiring signal for companies wishing to reach the Elixir community. The site categorizes entries by region, industry, and hiring status, making it easy to browse or filter by interests and location. Contributions are handled publicly via pull requests, with maintainers reviewing updates to ensure accuracy and consistency. Beyond simple listings, the project highlights the breadth of Elixir usage—from startups to large enterprises—and helps newcomers see real-world adoption. The codebase itself is an example Phoenix application, offering a transparent, collaborative model for community content. Over time, the directory has become a reference point frequently cited when assessing Elixir’s ecosystem health and job market.
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  • 9
    Elixir LangChain

    Elixir LangChain

    Elixir implementation of a LangChain style framework

    Elixir LangChain is an Elixir-native implementation of the LangChain concept, designed to help developers build applications powered by large language models using the Elixir ecosystem. The library focuses on enabling composable workflows where different processes, APIs, and services can be connected into structured pipelines driven by LLMs. It mirrors the architecture of traditional LangChain frameworks by providing abstractions for chains, tools, agents, and model integrations while adapting them to Elixir’s concurrency model. This makes it particularly well-suited for building scalable, real-time AI systems that benefit from Elixir’s fault tolerance and lightweight process management. The framework supports multiple providers and includes features such as streaming responses, tool calling, and structured outputs, allowing developers to create complex AI-driven workflows.
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  • 10
    Elixir Language Server

    Elixir Language Server

    A frontend-independent IDE "smartness" server for Elixir

    Implementing features such as auto-complete or go-to-definition for a programming language is not trivial. Traditionally, this work had to be repeated for each development tool and it required a mix of expertise in both the targeted programming language and the programming language internally used by the development tool of choice. The Elixir Language Server (ElixirLS) provides a server that runs in the background, providing IDEs, editors, and other tools with information about Elixir Mix projects. It adheres to the LSP, a standard for frontend-independent IDE support. Debugger integration is accomplished through a similar VS Code Debug Protocol. These pages contain all the information needed to configure your favorite text editor or IDE and to work with the ElixirLS. You will also find instructions on how to configure the server to recognize the structure of your projects and to troubleshoot your installation when things do not work as expected.
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  • 11
    ElixirScript

    ElixirScript

    Converts Elixir to JavaScript

    The goal is to convert a subset (or full set) of Elixir code to JavaScript, providing the ability to write JavaScript in Elixir. This is done by taking the Elixir AST and converting it into JavaScript AST and then to JavaScript code. This is done using the Elixir-ESTree library. This release includes one major addition and a number of important changes. ElixirScript.Test ElixirScript.Test is a framework for testing Elixir modules that interact with JavaScript via the FFI. For all other modules, ExUnit is still recommended. ElixirScript.Test’s API is similar to ExUnit’s API. ElixirScript.Test files must be placed in a folder named test_elixir_script. Tests are compiled and then are executed using node.js. ElixirScript can now take a path to compile. This is to support the compilation of modules defined in .exs files For more information regarding changes, please check the changelog.
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  • 12
    ExAdmin

    ExAdmin

    ExAdmin is an auto administration package for Elixir

    ExAdmin is an auto-administration package for Elixir and the Phoenix Framework. This version has been updated to support both Ecto 1.1 and Ecto 2.0. ExAdmin is an auto-administration package for Elixir and the Phoenix Framework, a port/inspiration of ActiveAdmin for Ruby on Rails. Checkout the Live Demo. The source code can be found at ExAdmin Demo. Checkout this Additional Live Demo for examples of many-to-many relationships, nested attributes, and authentication. ExAdmin is an add on for an application using the Phoenix Framework to create a CRUD administration tool with little or no code. By running a few mix tasks to define which Ecto Models you want to administer, you will have something that works with no additional code. ExAdmin will use your schema's changesets. By default we call the changeset function on your schema, although you can configure the changeset we use for update and create separately.
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  • 14
    Exq

    Exq

    Job processing library for Elixir - compatible with Resque / Sidekiq

    Exq is a job processing library compatible with Resque / Sidekiq for the Elixir language. Exq uses Redis as a store for background processing jobs. Exq handles concurrency, job persistence, job retries, reliable queueing and tracking so you don't have to. Jobs are persistent so they would survive across node restarts. You can use multiple Erlang nodes to process from the same pool of jobs. Exq uses a format that is Resque/Sidekiq compatible. This means you can use it to integrate with existing Rails / Django projects that also use a background job that's Resque compatible - typically with little or no changes needed to your existing apps. However, you can also use Exq standalone. You can also use the Sidekiq UI to view job statuses, as Exq is compatible with the Sidekiq stats format. You can run both Exq and Toniq in the same app for different workers. Exq supports uncapped amount of jobs running, or also allows a max limit per queue.
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  • 15
    GraphQL Elixir

    GraphQL Elixir

    GraphQL Elixir

    An Elixir implementation of Facebook's GraphQL. This is the core GraphQL query parsing and execution engine whose goal is to be transport, server and datastore agnostic. In order to setup an HTTP server (ie Phoenix) to handle GraphQL queries you will need plug_graphql. Examples for Phoenix can be found at hello_graphql_phoenix, so look here for a starting point for writing your own schemas. Other ways of handling queries will be added in due course. Tokenization is done with leex and parsing with yecc. Both very useful Erlang tools for parsing. Yecc in particular is used by Elixir itself.
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  • 16
    Hex

    Hex

    Package manager for the Erlang ecosystem

    Hex is the official package manager for the Erlang ecosystem, supporting languages like Elixir and Erlang that run on the BEAM virtual machine. It integrates seamlessly with build tools such as Mix and Rebar3, allowing developers to fetch, publish, and manage packages efficiently. Hex provides a centralized repository, ensuring that packages are easily discoverable and maintainable, thereby streamlining the development workflow within the BEAM community.​
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  • 17
    Horde

    Horde

    Horde is a distributed Supervisor and Registry

    Horde provides a distributed, fault-tolerant Registry and DynamicSupervisor for Elixir applications, letting you run and manage processes across clustered nodes as if they lived on a single machine. It relies on conflict-free replicated data types (CRDTs) to converge membership and process ownership without a central leader, so cluster topology can change freely as nodes join or leave. With Horde.Registry you register processes globally and look them up anywhere, while Horde.DynamicSupervisor starts and migrates children across nodes, rebalancing as capacity or health changes. Because everything runs under OTP supervision, failures are isolated and recoveries are automatic, even during network partitions or rolling deploys. It integrates naturally with common clustering tools and plays well with PubSub, job systems, and presence tracking. The result is predictable, configuration-driven distribution that removes a lot of custom glue typically needed for multi-node Elixir systems.
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  • 18
    IElixir

    IElixir

    Jupyter's kernel for Elixir programming language

    Jupyter's kernel for Elixir. You can manage your packages in runtime with Boyle. Name of the package honours remarkable chemist, Robert Boyle. This package allows you to manage your Elixir virtual enviromnent without need of restarting erlang virtual machine. Boyle installs environment into ./envs/you_new_environment directory and creates new mix project there with requested dependencies. It keeps takes care of fetching, compiling and loading/unloading modules from dependencies list of that environment.
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  • 19
    Kitto

    Kitto

    Kitto is a framework for interactive dashboards written in Elixir

    Kitto is a framework for interactive dashboards written in Elixir. The source for the demo dashboards can be found at: kittoframework/demo. Jobs are supervised processes running concurrently. Widgets are coded in the popular React library. Uses a modern asset tool-chain, Webpack. Allows streaming SSE to numerous clients concurrently with low memory/CPU footprint. Easy to deploy using the provided Docker images, Heroku (guide) or Distillery (guide). Can serve assets in production. Keeps stats about defined jobs and comes with a dashboard to monitor them (demo). Can apply exponential back-offs to failing jobs. Reloads code upon change in development. Kitto is a framework to help you create dashboards, written in Elixir / React. Widgets live in widgets/ are compiled using Webpack and are automatically loaded in the dashboards. Assets are rebuilt upon a change in development but have to be compiled for production.
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  • 20
    Maru

    Maru

    Elixir RESTful Framework

    Maru is a DSL for building HTTP/REST APIs in Elixir that emphasizes concise routing, parameter validation, and versioning. Inspired by Ruby’s Grape, it lets you describe endpoints declaratively—paths, verbs, and nested scopes—while composing reusable middleware via Plug. Strong parameter parsing and validators help keep controllers clean by moving input checking and coercion into the route layer. Built-in support for namespacing and API versioning simplifies rolling changes or maintaining multiple client generations side by side. Error handling, helpers, and content negotiation are wired into the DSL, so common cross-cutting concerns are consistent across endpoints. Because Maru sits on Plug and Cowboy, it retains Elixir’s performance and concurrency while making API development fast and readable.
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  • 21
    Membrane Core

    Membrane Core

    The core of Membrane Framework, multimedia processing framework

    membrane_core is the foundation of the Membrane multimedia framework for Elixir, providing the abstractions and runtime needed to build real-time audio and video pipelines. It models media processing as a graph of lightweight, supervised OTP processes—elements connected by links—so work is isolated, fault-tolerant, and easy to scale or reconfigure at runtime. The core defines a clear lifecycle and callback API for elements, plus concepts like buffers, events, and capabilities/format negotiation to keep components interoperable and type-safe. Back-pressure, scheduling, and time synchronization are handled by the framework, enabling low-latency streaming and precise playback control without ad-hoc concurrency code. Developers compose pipelines from reusable building blocks and can dynamically add, remove, or switch elements while the system is running.
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  • 22
    Nebulex

    Nebulex

    In-memory and distributed caching toolkit for Elixir

    Nebulex provides support for transparently adding caching into an existing Elixir application. Similar to Ecto, the caching abstraction allows consistent use of various caching solutions with minimal impact on the code. Nebulex cache abstraction shields developers from directly dealing with the underlying caching implementations, such as Redis, Memcached, or even other Elixir cache implementations like Cachex. Additionally, it provides totally out-of-box features such as cache usage patterns, declarative annotation-based caching, and distributed cache topologies, among others. For intensive workloads, you may want to use :shards as the backend for the local adapter and having partitioned tables. In such a case, you have to add :shards to the dependency list. For enabling the usage of declarative annotation-based caching via decorators, you have to add :decorator to the dependency list.
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  • 23
    Nerves

    Nerves

    Craft and deploy bulletproof embedded software in Elixir

    Nerves is the open-source platform and infrastructure you need to build, deploy, and securely manage your fleet of IoT devices at speed and scale. Nerves is written in Elixir, but you don’t have to rewrite everything in Elixir to get the advantages of Nerves, simply bring your own code (like C, C++, Python, Rust, and more) and scale up. Nerves use the Erlang runtime system, known for being distributed, fault-tolerant, soft real-time, and highly available. Nerves has the tools you need to manage every stage of your IoT project, the Nerves Project to build and customize, and NervesHub to deploy and manage your fleets of devices. Avoid hidden bugs and vulnerabilities with Nerves' secure opt-in approach to building. Nerves start minimal and guide you towards security best practices. Nerves helps you bring the principles of agile development to your IoT development cycle. Because Nerves runtime is immutable, Nerves also brings agility to long-term maintenance.
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  • 24
    Nostrum

    Nostrum

    Elixir Discord Library

    An Elixir library for the Discord API. Nostrum supports clean REST API implementation and rate-limiting, and automatic, configurable maintenance of local caches of Discord data, with extensive query support and cache swapping functionality.
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  • 25
    Oban

    Oban

    Robust job processing in Elixir, backed by modern PostgreSQL

    Oban is a robust and flexible background job processing library for Elixir, built on top of PostgreSQL and Ecto; it focuses on delivering reliability, consistency, observability, and historical insight into job execution, making it well-suited for fault-tolerant, production-grade workloads. Oban is a powerful and flexible library that can handle a wide range of background job use cases, and it is well-suited for systems of any size. It provides a simple and consistent API for scheduling and performing jobs, and it is built to be fault-tolerant and easy to monitor. Oban is fundamentally different from other background job processing tools because it retains job data for historic metrics and inspection. You can leave your application running indefinitely without worrying about jobs being lost or orphaned due to crashes.
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