Open Source Elixir Software for BSD
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Elixir Software for BSD
Browse free open source Elixir Software for BSD and projects below. Use the toggles on the left to filter open source Elixir Software for BSD by OS, license, language, programming language, and project status.
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Elixir Koans
Elixir learning exercises
Elixir Koans is an interactive learning project designed to teach the fundamentals of the Elixir programming language through a series of self-guided coding exercises. Inspired by the style of koans used in other programming communities, it provides incomplete code snippets and failing tests that learners must solve to progress. Each exercise builds on the previous one, gradually introducing core concepts such as pattern matching, recursion, processes, and concurrency in Elixir. By debugging and filling in missing pieces, users gain practical, hands-on experience while reinforcing theoretical knowledge. The project is ideal for both complete beginners and developers transitioning from other languages who want to learn Elixir in a structured, exploratory way. Its design emphasizes discovery, experimentation, and reflection, making it a powerful tool for deepening understanding of Elixir’s unique paradigms. -
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Pinchflat
Your next YouTube media manager
Pinchflat is a self-hosted YouTube media manager that automates downloading videos from channels or playlists using yt-dlp. It runs as a lightweight, containerized app and is ideal for archiving or feeding media center setups like Plex, Jellyfin, or Kodi. -
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Boombox
Boombox is a simple streaming tool built on top of Membrane
Boombox is a high-level audio and video streaming tool built on top of the Membrane Framework. It is designed to make media transformations easier across common formats, containers, and streaming protocols. The project gives developers a simpler interface over lower-level multimedia pipelines, which can otherwise be complex to configure manually. Boombox is useful for Elixir projects that need to read, write, stream, transcode, or transform media without directly assembling every Membrane element. It can support applications such as media processing services, streaming tools, recording workflows, and format-conversion utilities. Its main value is making powerful Membrane-based multimedia processing more accessible through a cleaner, higher-level API. -
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Dagger
Containerized automation engine for programmable CI/CD workflows
Dagger is an open source automation engine designed to build, test, and deliver software in a consistent and programmable way. It enables developers to define software delivery workflows using code instead of complex shell scripts or configuration files. Dagger executes tasks inside containers, ensuring that automation runs in identical environments across local machines, CI servers, or cloud infrastructure. Dagger provides a core execution engine and system API that orchestrates containers, filesystems, secrets, repositories, and other resources needed during development pipelines. Developers can write pipelines using SDKs available for multiple programming languages, enabling integration with existing development stacks and tools. It focuses on repeatability and efficiency by running tasks incrementally and caching intermediate results so that only affected operations are re-executed when changes occur. -
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Phoenix LiveView
Rich, real-time user experiences with server-rendered HTML
Phoenix LiveView is an Elixir library that enables rich, real-time user experiences by using server-rendered HTML over WebSockets, providing seamless dynamic interactivity without needing front-end JavaScript frameworks. It integrates deeply with Phoenix and ships by default in new Phoenix applications. LiveView brings a unified experience to building web applications. You no longer have to split work between client and server, across different toolings, layers, and abstractions. Instead, LiveView enriches the server with a declarative and powerful model while keeping your code closer to your data (and ultimately your source of truth). -
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Poison
An incredibly fast, pure Elixir JSON library
Poison is a fast and lightweight JSON library for Elixir focused on performance and idiomatic APIs. It provides straightforward encode and decode functions, along with a protocol-based encoder that lets you customize how your structs become JSON. Developers can derive or implement Poison.Encoder for domain types, control which fields are included, and map complex values into JSON-friendly forms. On the decoding side, it supports options for key handling and flexible parsing of JSON into Elixir maps, lists, and primitive values. Internally it uses optimized binary processing to keep allocations low and throughput high, which is why it became a popular choice in early Elixir ecosystems. The API is intentionally small and unsurprising, making it easy to drop into controllers, background jobs, or data pipelines. Many codebases still rely on Poison for its speed and simplicity, even as alternative JSON libraries exist in the community. -
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Algora TV
Open source Twitch for developers
Algora TV is an open source Elixir/Phoenix application developed by Algora.io that powers Live Billboards—a platform for embedding in-video ads during livestreams. The project enables developers to monetize their live content while providing devtools companies a dynamic and non-intrusive way to reach audiences in real time. Built on top of the Phoenix framework, it leverages Elixir’s concurrency and scalability to handle streaming, ad management, and user interactions seamlessly. The system integrates with GitHub for authentication and uses Tigris for media storage and delivery, with optional support for services like FFmpeg, ImageMagick, and OBS Studio for livestream testing and video processing. The repository includes all setup instructions, from environment configuration to database initialization, making it accessible for developers to self-host or experiment locally. -
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Deep Chat
Customizable AI chat component for websites with API support
Deep Chat is a highly customizable web component designed to simplify the integration of AI-powered chat interfaces into websites. It allows developers to embed a fully functional chatbot using minimal setup, while still offering extensive control over behavior, appearance, and integrations. Deep Chat supports connections to a wide range of AI services as well as custom backends, enabling flexible deployment for different use cases. It is built as a framework-agnostic solution, meaning it can work across various frontend environments, with additional support provided for React through a dedicated wrapper. Deep Chat includes advanced interaction capabilities such as speech input and output, file handling, and multimedia communication, making it suitable for rich conversational experiences. Internally, it uses a structured architecture that manages input, message handling, and service communication, allowing developers to intercept and customize requests and responses. -
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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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Frontman
AI coding agent for visual frontend fixes in your browser
Frontman is an open-source AI coding agent that lives inside your running web app. Click any element, describe the change, and Frontman edits the real source files with hot reload. Unlike IDE-only coding tools, Frontman sees the live DOM, component tree, computed CSS, routes, source maps, screenshots, console output, and server logs. That runtime context helps product managers, designers, and frontend teams fix copy, spacing, colors, layout bugs, and internal UI polish without guessing which file owns a rendered element. Works with Next.js, Astro, Vite, React, Vue, Svelte, and SvelteKit. BYOK model support includes OpenAI, Anthropic, OpenRouter, Google, xAI, Fireworks, NVIDIA, and more. Use Frontman when visual frontend edits get stuck in design QA, product review, or developer handoff. -
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30 Days of Elixir
A walk through the Elixir language in 30 exercises
30-days-of-elixir is an educational repository created by Josh Adams (seven1m) designed to teach the fundamentals of the Elixir programming language through a structured, daily learning approach. The project provides a series of exercises and examples meant to guide learners from the basics of Elixir syntax to more advanced functional programming concepts. Each day introduces new material in a concise and practical format, encouraging hands-on experimentation and gradual mastery of the language. The content covers essential topics such as pattern matching, recursion, data structures, processes, and message passing—core principles that define Elixir’s design. This incremental learning format allows developers to build confidence and understanding while maintaining consistent progress. As one of the early and influential resources in the Elixir community, 30-days-of-elixir remains a valuable guide for self-learners and newcomers to the functional programming paradigm. -
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Ash
A declarative, extensible framework for building Elixir applications
Ash is a declarative framework for building resource-oriented apps in Elixir. It emphasizes composability, DSL-driven definitions of resources/actions/relationships, and extensibility through plugins for API, database, and UI layers. -
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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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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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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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Commanded
Use Commanded to build Elixir CQRS/ES applications
Commanded is an Elixir framework for implementing CQRS (Command Query Responsibility Segregation) and Event Sourcing patterns. It provides domain-driven design tools—aggregates, commands, events, and projections—backed by an event store (e.g. PostgreSQL). -
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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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Elixir
Dynamic, functional language designed for building scalable apps
Elixir is a dynamic, functional language for building scalable and maintainable applications. Elixir leverages the Erlang VM, known for running low-latency, distributed, and fault-tolerant systems. Elixir is successfully used in web development, embedded software, data ingestion, and multimedia processing, across a wide range of industries. All Elixir code runs inside lightweight threads of execution (called processes) that are isolated and exchange information via messages. Due to their lightweight nature, it is not uncommon to have hundreds of thousands of processes running concurrently in the same machine. Isolation allows processes to be garbage collected independently, reducing system-wide pauses, and using all machine resources as efficiently as possible (vertical scaling). Processes are also able to communicate with other processes running on different machines in the same network. -
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Elixir Code Smells
Catalog of Elixir-specific code smells
Elixir-Code-Smells is a research-driven catalog of code smells specific to the Elixir programming language. Unlike generic code smell lists, this project identifies issues emerging from Elixir’s functional, concurrent, and process-based nature. Initially compiled via grey literature (blogs, talks, forums), the catalog now includes 23 Elixir-specific smells plus 12 traditional smells adapted to Elixir. Each entry documents the name, category, problem, example, refactoring strategy, and step-by-step treatments. The smells are grouped into two categories: design-related (coarse-grained, harder to detect, affecting architecture/processes) and low-level concerns (fine-grained, often readability and maintainability issues). The catalog evolves with community feedback and contributions, aiming to help developers recognize harmful patterns and apply disciplined refactoring to improve maintainability, testability, and performance in Elixir systems. -
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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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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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Elixir WebRTC
An Elixir implementation of the W3C WebRTC API
Elixir WebRTC is an Elixir implementation of the W3C WebRTC API for building real-time communication features in Elixir applications. It gives developers a way to create peer connections, exchange media, and work with browser-compatible WebRTC behavior from the BEAM ecosystem. The project is especially useful for applications that need live audio, video, or data communication without leaving Elixir. It can support DataChannels through an optional SCTP dependency, which extends its usefulness beyond media streaming. Because it follows familiar WebRTC concepts, it can integrate with browser clients and other WebRTC-capable systems. Its main value is bringing WebRTC primitives into Elixir so developers can build real-time products with the fault tolerance and concurrency strengths of the BEAM. -
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Fishjam
General purpose media server. Supports WebRTC, HLS, RTSP, SIP
Fishjam is a real-time multimedia streaming toolkit for building low-latency video and audio applications. The GitHub repository refers to the original open-source Fishjam media server, which was a general-purpose media server written in Elixir and is no longer actively maintained. The broader Fishjam project has since evolved into a platform for WebRTC-based live video, audio, and messaging infrastructure. It is designed for use cases such as video conferencing, live streaming, classrooms, telehealth, gameplay, collaboration, and interactive media products. Fishjam focuses on reducing the amount of WebRTC infrastructure that teams need to build themselves. Its main value is giving developers a practical foundation for real-time communication products with sub-second media delivery. -
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GenStage
Producer and consumer actors with back-pressure for Elixir
GenStage is a specification and set of behaviours for building demand-driven data pipelines on the BEAM. It formalizes the roles of producers, consumers, and producer-consumers, using back-pressure so that fast producers don’t overwhelm downstream stages. Developers implement callbacks like handle_demand and handle_events to control how items are emitted, transformed, and consumed across asynchronous boundaries. Because stages are OTP processes, you gain fault tolerance, supervised restarts, and concurrency tuned via configurable demand and partitioning. GenStage underpins higher-level libraries like Flow and Broadway, but it can also be used directly for custom pipelines where timing and throughput matter. Its clear separation of concerns encourages testable, composable stages that can be rearranged as requirements evolve. In production, this leads to predictable, resilient dataflows for event ingestion, batching, and parallel processing. -
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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.
