Open Source Elixir Libraries
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Elixir Libraries
View 75 business solutionsBrowse free open source Elixir Libraries and projects below. Use the toggles on the left to filter open source Elixir Libraries by OS, license, language, programming language, and project status.
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Bamboo
Testable, composable, and adapter based Elixir email library
Bamboo is part of the thoughtbot Elixir family of projects. Flexible and easy-to-use email for Elixir. Built-in support for popular mail delivery services. Bamboo ships with adapters for several popular mail delivery services, including Mandrill, Mailgun, and SendGrid. It's also quite easy to write your own delivery adapter if your platform isn't yet supported. Deliver emails in the background. Most of the time you don't want or need to wait for the email to send. Bamboo makes it easy with Mailer.deliver_later. A functional approach to mail delivery. Emails are created, manipulated, and sent using plain functions. This makes composition a breeze and fits naturally into your existing Elixir app. Unit test with ease. Bamboo separates email creation and email delivery allowing you to test by asserting against email fields without the need for special functions. Dead-simple integration tests. Bamboo provides helper functions to make integration testing easy and robust. -
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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. -
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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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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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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. -
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Tesla
The flexible HTTP client library for Elixir
The flexible HTTP client library for Elixir, with support for middleware and multiple adapters. Tesla is an HTTP client loosely based on Faraday. It embraces the concept of middleware when processing the request/response cycle. Define module with use Tesla and choose from a variety of middleware. Tesla is built around the concept of composable middlewares. This is very similar to how Plug Router works. All HTTP functions, such as Tesla.get/3 and Tesla.post/4, can take a dynamic client as the first argument. This allows using convenient syntax for modifying the behavior in runtime. Tesla supports multiple HTTP adapter that do the actual HTTP request processing. Each piece of the stream will be encoded as JSON and sent as a new line (conforming to JSON stream format). You can set the adapter to Tesla.Mock in tests. -
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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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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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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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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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Poxa
Pusher server implementation compatible with Pusher client libraries
Pusher server implementation is compatible with Pusher client libraries. Open Pusher implementation compatible with Pusher libraries. It's designed to be used as a single registered app with id, secret, and key defined on start. Poxa is a standalone elixir server implementation of the Pusher protocol. Docker images are automatically built by Docker Hub. They are available at Docker Hub. One can generate it using: docker build -t local/poxa. Poxa uses gproc extensively to register websocket connections as channels. So, when a client subscribes for channel 'example-channel', the websocket connection (which is a elixir process) is "tagged" as {pusher, example-channel}. When a pusher event is triggered on the 'example-channel', every websocket matching the tag receives the event. -
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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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The Elixir Style Guide
A community driven style guide for Elixir
This is community style guide for the Elixir programming language. Please feel free to make pull requests and suggestions, and be a part of Elixir's vibrant community. If you're looking for other projects to contribute to please see the Hex package manager site. Elixir v1.6 introduced a Code Formatter and Mix format task. The formatter should be preferred for all new projects and source code. The rules in this section are applied automatically by the code formatter, but are provided here as examples of the preferred style. Use Unix-style line endings (*BSD/Solaris/Linux/OSX users are covered by default, Windows users have to be extra careful). Use spaces around operators, after commas, colons and semicolons. Do not put spaces around matched pairs like brackets, parentheses, etc. Whitespace might be (mostly) irrelevant to the Elixir runtime, but its proper use is the key to writing easily readable code. -
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Timex
A complete date/time library for Elixir projects
Timex is a rich, comprehensive Date/Time library for Elixir projects, with full timezone support via the :tzdata package. If you need to manipulate dates, times, datetimes, timestamps, etc., then Timex is for you! It is very easy to use Timex types in place of default Erlang types, as well as Ecto types via the timex_ecto package. If you are coming from an earlier version of Timex, it is recommended that you evaluate whether or not the functionality provided by the standard library Calendar API is sufficient for your needs, as you may be able to avoid the dependency entirely. Timex now delegates to the standard library where possible, and provides backward compatibility to Elixir 1.8 for APIs which are used. This is to avoid duplicating effort, and to ease the maintenance of this library in the future. Take a look at the documentation to see what APIs are available and how to use them.
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