Open Source Elixir Software - Page 4
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Elixir Software
Browse free open source Elixir Software and projects below. Use the toggles on the left to filter open source Elixir Software by OS, license, language, programming language, and project status.
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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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HTTPoison
Yet Another HTTP client for Elixir powered by hackney
HTTP client for Elixir, based on HTTPotion. HTTPoison uses hackney to execute HTTP requests instead of ibrowse. Using hackney we work only with binaries instead of string lists. First, add HTTPoison to your mix.exs dependencies. Add :httpoison to your applications list if your Elixir version is 1.3 or lower. You can also easily pattern match on the HTTPoison.Response struct. There are a number of supported options(not to be confused with the HTTP options method), documented here, that can be added to your request. The example below shows the use of the :ssl and :recv_timeout options for a post request to an api that requires a bearer token. The :ssl option allows you to set options accepted by the Erlang SSL module, and :recv_timeout sets a timeout on receiving a response, the default is 5000ms. -
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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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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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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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Live Svelte
Svelte inside Phoenix LiveView with seamless end-to-end reactivity
live_svelte bridges Phoenix LiveView with Svelte components, letting you blend server-driven UIs and client-side interactivity in a single application. It mounts Svelte components from HEEx templates and wires props and events through a small interop layer, so data flows cleanly between LiveView assigns and Svelte state. The integration supports dispatching client events back to LiveView and pushing updates down to the component without writing custom glue for every case. This makes it straightforward to adopt Svelte for isolated, highly interactive widgets—charts, editors, complex form controls—without abandoning LiveView’s real-time model. The project aims to keep build tooling minimal and predictable, so teams can continue using familiar Phoenix asset pipelines. By enabling “islands” of Svelte within LiveView pages, live_svelte offers a pragmatic path to richer UX while preserving Elixir’s server-centric simplicity. -
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live_beats is an example Phoenix LiveView application developed by Fly.io to demonstrate real-time features and deployment workflows in modern Elixir web applications. It showcases how developers can build interactive, stateful web experiences without relying heavily on client-side JavaScript frameworks. The project streams live audio updates and visual feedback directly through WebSocket connections managed by LiveView, highlighting the power of Elixir’s concurrent architecture. In addition to real-time interactivity, live_beats demonstrates effective project structuring, deployment strategies, and integration with Fly.io’s cloud hosting platform. It serves as both a learning tool and a reference for best practices in LiveView development, covering topics such as state management, event handling, and distributed scalability. Designed for developers exploring Elixir and Phoenix, it provides a hands-on example of how to create responsive, dynamic web applications.
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LiveDebugger
Tool for debugging LiveView applications
LiveDebugger is a browser-based debugging tool for Phoenix LiveView applications. It helps Elixir developers inspect LiveView behavior while the application is running in development. The tool can show the LiveComponents tree, view assigns, inspect elements, and trace callback execution. It is designed to make LiveView debugging more visual and easier to understand than relying only on logs or manual inspection. LiveDebugger can be installed as a development dependency and also offers browser DevTools extensions for Chrome and Firefox. Its main value is giving Phoenix LiveView teams a dedicated debugging experience for understanding component state, callbacks, and runtime behavior. -
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Magnetissimo
Web application that indexes all popular torrent sites
Magnetissimo is a self-hosted Elixir-based web application that crawls and indexes multiple popular torrent sites and stores magnet links in a local database—designed to run without JavaScript and optimized for high performance using Elixir’s GenServer and the BEAM VM. No JavaScript frontend—relies entirely on server-rendered content. High performance via Elixir’s GenServer and BEAM concurrency model. Easy integration with tools like Sonarr and Radarr. Readable, maintainable, and lean codebase. -
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Manifold
Fast batch message passing between nodes for Erlang/Elixir
Erlang and Elixir make it very easy to send messages between processes even across the network, but there are a few pitfalls. Sending a message to many PIDs across the network also copies the message across the network many times. Send calls cost about 70 µs/op so doing them in a loop eventually gets too expensive. Manifold distributes the work of sending messages to the remote nodes of the PIDs, which guarantees that the sending processes at most only calls send/2 equal to the number of involved remote nodes. Manifold does this by first grouping PIDs by their remote node and then sending to Manifold.Partitioner on each of those nodes. The partitioner then consistently hashes the PIDs using :erlang.phash2/2, groups them by the number of cores, sends to child workers, and finally those workers send to the actual PIDs. This ensures the partitioner does not get overloaded and still provides the linearizability guaranteed by send/2. -
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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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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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Midarr Server
Midarr, the minimal lightweight media server
Midarr is a minimal, lightweight media server built to complement tools like Radarr or Sonarr. Instead of reinventing the media management stack, it leverages existing setups and metadata providers to serve media files "fresh off the metal" without re-indexing or transcoding by default. It offers a sleek web interface with authentication, user profiles, real-time statuses, and experimental support for remuxing/transcoding and Chromecast compatibility. -
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Mydia
Your personal media companion, built with Phoenix LiveView
Mydia is a modern, self-hosted media management platform for tracking, organizing, and monitoring movies and TV shows, built with Phoenix LiveView for a highly responsive, real-time UI. It aims to function as a “personal media companion,” giving you a unified dashboard that pulls rich metadata and keeps your library information up to date as your collection grows. The system supports automation workflows around acquiring and managing media, including quality profiles and smarter release selection, so it can act as a hub rather than just a catalog. It integrates with common download clients and indexers, enabling an end-to-end workflow where requests, discovery, and acquisition are connected through a single interface. Mydia also supports multi-user setups with roles and request workflows, making it usable in households or shared servers without giving everyone full administrative power. -
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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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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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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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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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OpenAI Symphony
Symphony turns work into isolated, autonomous implementation runs
Symphony is an open-source framework designed to transform project tasks into autonomous implementation runs managed by AI coding agents. It allows teams to manage and prioritize work while the system automatically assigns coding agents to complete tasks. Instead of directly supervising AI agents, engineers can oversee higher-level workflows and project outcomes. Symphony integrates with project management tools to detect new tasks and initiate isolated environments where agents implement solutions. Each run generates proof of work such as CI results, pull requests, code reviews, and analysis to validate the completed task. By automating execution and verification, Symphony helps engineering teams scale development workflows with minimal manual oversight. -
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Operately
The open source startup operating system
Operately is an open-source "Startup OS" that combines project, goal, and process management into a single platform. It integrates OKRs, KPI tracking, and collaborative workflows to help teams align their day-to-day work with long-term vision. Built with Elixir, TypeScript, React, and Postgres, it offers a self-hosted alternative to tools like Notion, with standardized processes, document management, and audit logs -
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Phoenix LiveDashboard
Realtime dashboard with metrics, request logging, plus storage, OS
Phoenix LiveDashboard is an interactive monitoring and debugging tool for Elixir applications, integrated directly into Phoenix. It offers real-time insights into system metrics such as memory, CPU, and process activity, as well as introspection of applications, supervision trees, and running processes. Built on top of Phoenix LiveView, it updates dashboards live without requiring page reloads. Developers can drill into request logs, Ecto queries, and telemetry events to diagnose performance issues. It also supports extensibility, allowing custom metrics and panels to be added for application-specific monitoring. LiveDashboard has become a staple for Elixir developers, giving them production-grade visibility into their systems without external monitoring services. -
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Plausible Analytics
Simple, open-source, lightweight and privacy-friendly web analytics
Plausible is lightweight and open-source web analytics. No cookies and fully compliant with GDPR, CCPA and PECR. Made and hosted in the EU, powered by European-owned cloud infrastructure. Frustrated with Google Analytics? So are we and that's why we built Plausible Analytics, a simple, lightweight (< 1 KB), open source, and privacy-friendly alternative that doesn't come from the adtech world. Web analytics went from a simple, fun and useful practice for site owners to a data-grabbing machine for surveillance capitalism. Google Analytics is frustrating to use, difficult to understand, slow to load and privacy-invasive too. Plausible Analytics is built for privacy-conscious site owners. You get valuable and actionable stats to help you improve your efforts while your visitors keep having a nice and enjoyable experience. Plausible is simple analytics. It is easy to understand and it cuts through the noise. -
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Plug
Compose web applications with functions
Plug is a specification and set of utilities for building composable modules in Elixir web applications. It defines a standard connection interface, allowing developers to create “plugs” that act as middleware for handling requests and responses. Examples include parsing parameters, managing sessions, logging, or authentication, all of which can be plugged into a pipeline. Plug serves as the foundation for the Phoenix framework, which builds on it to deliver a full-featured web stack. The library supports both synchronous and streaming responses, making it adaptable to various web scenarios. Its modularity and composability promote clean, reusable code while remaining lightweight enough for microservices and APIs outside of Phoenix. -
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Pow
Robust, modular, and extendable user authentication system
Pow is a robust, modular, and extendable authentication and user management solution for Phoenix and Plug-based apps. Pow is built to be modular, and easy to configure. The configuration is passed to function calls as well as plug options, and they will take priority over any environment configuration. It's ideal in case you got an umbrella app with multiple separate user domains. The easiest way to use Pow with Phoenix is to use a :otp_app in function calls and set the app environment configuration. It will keep a persistent fallback configuration that you configure in one place. Pow ships with a session plug module. You can easily switch it out with a different one. Pow is extremely modular and fully customizable. As your platform scales, each moving part can be modified or replaced ad-hoc. Several extensions are included in Pow so you with no effort can add secure features to your app. -
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Pow Auth
Robust, modular, and extendable user authentication system
A robust, modular and extendable. User management solution. Pow is a complete authentication and user management library built in Elixir that works out-of-the-box for Phoenix and Plug-based applications while being fully customizable. Pow gives you out-of-the-box authentication and user management for your Phoenix or Plug-based app. Functionally built so it's fully customizable. Strong security is a core tenet of Pow's philosophy, which is why Pow by default uses short lived sessions. If your app requires stateless tokens, the authorization layer can be replaced in minutes. Pow has been used in countless production apps and is a "batteries included" library for production. The cache backend store used for session storage can be replaced with any key-value store of your choice. The built-in Mnesia cache module works both for clusters and single-machine persistence, which can auto-connect to the cluster on startup and self-heal after netsplit.
