Open Source Elixir Software
Sort By:
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.
-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
Gen AI apps are built with MongoDB AtlasMongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
-
1
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. -
2
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. -
3
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.
-
4
Sequin
Postgres change data capture to streams and queues like Kafka
Sequin is a change data capture (CDC) system that replicates API data to Postgres in real time. It syncs services like Stripe, Salesforce, and GitHub into PostgreSQL tables, enabling developers to query third-party data with standard SQL. Sequin is ideal for building data-driven applications that need immediate visibility into external SaaS platforms. -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
5
Supabase Realtime
Listen to your to PostgreSQL database in realtime via websockets
Supabase is an open-source Firebase alternative. Start your project with a Postgres database, Authentication, instant APIs, Edge Functions, Realtime subscriptions, and Storage. Every project is a full Postgres database, the world's most trusted relational database. Add user sign ups and logins, securing your data with Row Level Security. Store, organize, and serve large files. Any media, including videos and images. Write custom code without deploying or scaling servers. Supported by a network of early advocates, contributors, and champions. We introspect your database to provide APIs instantly. Stop building repetitive CRUD endpoints and focus on your product. Type definitions built directly from your database schema. Use Supabase in the browser without a build process. Develop locally and push to production when you're ready. -
6
ErrorTracker
An Elixir-based built-in error reporting and tracking solution
An Elixir-based built-in error-tracking solution -
7
gRPC Elixir
An Elixir implementation of gRPC
The Gun library doesn't have a full 2.0 release yet, so we depend on :grcp_gun 2.0.1 for now. This is the same as :gun 2.0.0-rc.2, but Hex doesn't let us depend on RC versions for releases. Generate Elixir code from the proto file as protobuf-elixir shows(especially the gRPC Support section). Implement the server-side code and remember to return the expected message types. You can start the gRPC server as a supervised process. First, add GRPC.Server.Supervisor to your supervision tree. -
8
FarmBot OS
The operating system and all related software
The operating system and all related software that runs on FarmBot's Raspberry Pi. The FarmBot OS release page has moved to my.farm.bot/os. Old versions of FarmBot OS can still be found. Get configured over WiFi, mitigating the need to plug in a mouse, keyboard, or screen. Communicate with the web application over WiFi or ethernet so that it can synchronize (download) sequences, regimens, farm designs, events, and more; upload logs and sensor data; and accept real-time commands. Communicate with the Farmduino to send G and F commands and receive sensor and encoder data. Take photos with a USB or Raspberry Pi camera, and upload the photos to the web application. You must use a .img writing tool to write FarmBot OS onto the microSD card. We recommend downloading and installing balenaEtcher for this purpose. -
9
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. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
10
Floki
Floki is a simple HTML parser that enables search for nodes using CSS
Floki is a simple HTML parser that enables search for nodes using CSS selectors. Floki needs the :leex module in order to compile. Normally this module is installed with Erlang in a complete installation. By default, Floki uses a patched version of mochiweb_html for parsing fragments due to its ease of installation (it's written in Erlang and has no outside dependencies). fast_html is generally faster, according to the benchmarks conducted by its developers. -
11
Electric
Sync little subsets of your Postgres data into local apps and services
Swap out your queries, data fetching, and caching for bulletproof sync that just works. Electric syncs little subsets of your Postgres data into local apps and services. So you can have the data you need, in in-sync, wherever you need it. And you can level-up all the way to syncing into a local embedded PGlite database. With built-in persistence and live reactivity. -
12
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. -
13
Fast Elixir
Writing Fast Elixir. Collect Common Elixir idioms
Fast Elixir is a curated collection of performance-focused best practices, idioms, and code snippets for writing efficient Elixir programs. The project documents common patterns in Elixir and compares their relative performance using benchmarks to guide developers toward faster and more memory-friendly code. By showcasing side-by-side examples, it highlights not only which approaches are faster but also why certain functions or techniques should be preferred in different scenarios. The repository is designed as a practical reference for developers who want to optimize Elixir applications without diving into premature micro-optimizations. Its goal is not just speed but also clarity, ensuring that performance improvements do not come at the cost of readability and maintainability. With continuously updated examples, Fast Elixir helps both beginners and experienced Elixir programmers adopt better habits and avoid slow patterns. -
14
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. -
15
Absinthe
The GraphQL toolkit for Elixir
Absinthe is the GraphQL toolkit for Elixir, an implementation of the GraphQL specification built to suit the language's capabilities and idiomatic style. If you're new to GraphQL, we suggest you read up a bit on GraphQL's foundational principles before you dive into Absinthe. Absinthe's functionality generally falls into two broad areas. Defines the structure of data entities and the relationships between, as well as the available queries, mutations, and subscriptions, using an elegant collection of declarative macros. Absinthe schemas are defined using easy-to-read macros that build and verify their structure at compile-time, preventing runtime errors and increasing performance. The entire query processing pipeline is configurable. Add, swap out, or remove the parser, individual validations, or resolution logic at will, even on a per-document basis. Absinthe includes a number of advanced resolution features. -
16
Axon
Nx-powered Neural Networks
Nx-powered Neural Networks for Elixir. Axon consists of the following components. Functional API – A low-level API of numerical definitions (defn) of which all other APIs build on. Model Creation API – A high-level model creation API which manages model initialization and application. Optimization API – An API for creating and using first-order optimization techniques based on the Optax library. Training API – An API for quickly training models, inspired by PyTorch Ignite. Axon provides abstractions that enable easy integration while maintaining a level of separation between each component. You should be able to use any of the APIs without dependencies on others. By decoupling the APIs, Axon gives you full control over each aspect of creating and training a neural network. At the lowest-level, Axon consists of a number of modules with functional implementations of common methods in deep learning. -
17
Benchee
Easy and extensible benchmarking in Elixir
Library for easy and nice (micro) benchmarking in Elixir. Benchee allows you to compare the performance of different pieces of code at a glance. It is also versatile and extensible, relying only on functions. There are also a bunch of plugins to draw pretty graphs and more! Benchee runs each of your functions for a given amount of time after an initial warmup, it then measures their run time and optionally memory consumption. It then shows different statistical values like average, standard deviation etc. The aforementioned plugins like benchee_html make it possible to generate nice-looking HTML reports, where individual graphs can also be exported as PNG images. first runs the functions for a given warmup time without recording the results, to simulate a "warm"/running system. Plugin/extensible-friendly architecture so you can use different formats to display benchmarking results as HTML, markdown, JSON, and more. -
18
Bumblebee
Pre-trained Neural Network models in Axon
Bumblebee provides pre-trained Neural Network models on top of Axon. It includes integration with Models, allowing anyone to download and perform Machine Learning tasks with few lines of code. The best way to get started with Bumblebee is with Livebook. Our announcement video shows how to use Livebook's Smart Cells to perform different Neural Network tasks with a few clicks. You can then tweak the code and deploy it. First, add Bumblebee and EXLA as dependencies in your mix.exs. EXLA is an optional dependency but an important one as it allows you to compile models just-in-time and run them on CPU/GPU. -
19
Ecto
A toolkit for data mapping and language integrated query
Ecto is the official Elixir library that serves as a database wrapper and integrated query system, enabling developers to define schemas, construct and execute type-safe queries, manage database migrations, and validate data via changesets; it is the foundational tool for working with relational databases in Elixir. Note that mix test does not run the tests in the integration_test folder. To run integration tests, you can clone ecto_sql in a sibling directory and then run its integration tests with the ECTO_PATH environment variable pointing to your Ecto checkout. Support for database migrations (version-controlled schema changes). -
20
Explorer
Series (one-dimensional) and dataframes (two-dimensional)
Explorer brings series (one-dimensional) and data frames (two-dimensional) to Elixir for fast data exploration. -
21
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. -
22
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. -
23
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. -
24
Livebook
Interactive and collaborative code notebooks for Elixir
Livebook is a web application for writing interactive and collaborative code notebooks. Write notebooks in Livebook then securely deploy and share them with your team and company with Livebook Hub/Enterprise. Code notebooks with Markdown support and Code cells where Elixir code is evaluated on demand. Rich code editor through Monaco: with support for autocompletion, inline documentation, code formatting, etc. Interactive results via Kino: display Vega-Lite charts, tables, maps, and more. Automation: use Smart cells to perform high-level tasks and write notebooks faster than ever. Query databases, plot charts, build maps, and more directly from Livebook's UI. Reproducible: Livebook ensures your code runs in a predictable order, all the way down to package management. It also tracks your notebook state, annotating which parts are stale. Collaboration: multiple users can work on the same notebook at once, no additional setup is required. -
25
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
