Open Source Elixir Software Development Software
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Elixir Software Development Software
View 6114 business solutionsBrowse free open source Elixir Software Development Software and projects below. Use the toggles on the left to filter open source Elixir Software Development Software by OS, license, language, programming language, and project status.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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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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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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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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bors-ng
A merge bot for GitHub Pull Requests
bors-ng is a GitHub merge bot that enforces an “evergreen” main branch by queueing approved pull requests, testing them together on a staging branch, and only advancing main with the exact, passing commit set. Instead of maintainers repeatedly rebasing and merging one PR at a time, bors-ng batches r+-ed PRs, triggers your existing CI (e.g., GitHub Actions), and merges automatically when the batch is green. If a batch fails, it bisects the batch into smaller runs to isolate the culprit, landing the good PRs and kicking only the failing one(s) back for fixes. The bot is implemented as a GitHub App and works alongside—rather than replacing—your CI by reporting commit statuses/checks and acting on PR comments like bors r+ or bors try. It provides a dashboard to watch queue progress, uses separate staging/trying branches for merge/test cycles, and supports both public GitHub and GitHub Enterprise endpoints. -
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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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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. -
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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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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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Kaffy
Powerfully simple admin package for phoenix applications
Kaffy is an Elixir/Phoenix library that provides a powerful, customizable admin interface with minimal setup. Inspired by Django’s built-in admin and Rails’ ActiveAdmin, it allows developers to manage data models, forms, dashboards, and navigation without altering their existing codebase. Kaffy auto-generates CRUD interfaces for your Ecto schemas, supports advanced customizations, and integrates seamlessly with Phoenix projects. It’s designed to be both simple for quick setup and flexible enough for complex admin needs. -
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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. -
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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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Surface
A server-side rendering component library for Phoenix
Surface is a component-based UI library for Phoenix LiveView that brings a declarative, template-driven approach to building interactive interfaces. Inspired by frameworks like React, it introduces components with typed properties, slots, and macros to simplify complex UIs. Developers can create reusable, encapsulated components that integrate seamlessly with LiveView’s server-rendered real-time model. Surface emphasizes readability, making templates feel closer to HTML while retaining Elixir’s functional power. It also provides form helpers, event bindings, and a growing ecosystem of ready-to-use UI components. By combining the productivity of declarative components with LiveView’s real-time updates, Surface enables rich, interactive apps without requiring a separate frontend framework like React or Vue. -
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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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Backpex
Backpex is a highly customizable administration panel for Phoenix Live
Backpex is a highly customizable administration panel for Phoenix LiveView applications. Quickly create beautiful CRUD views and more for your existing data via configurable LiveResources. Easily extendable with your own layouts, views, field types, filters, and more. Backpex comes with a rich set of features to quickly build a beautiful backoffice application. Visit the docs (coming soon) to learn about all the different possibilities. Easily add value metrics (like sums or averages) to your resources for a quick glance at your date. More metric types are in the making. -
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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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Batteries Included
The main Batteries Included repo
Welcome to Batteries Included—the ultimate platform for modern service development. Built on Kubernetes and open-source, our software platform gives you an incredible, all-inclusive infrastructure experience thanks to an intuitive UI and advanced automation. In this repo, you'll find everything you need to contribute to development. From code and scripts to documentation and information, this is the hub of all things Batteries Included. Batteries Included is a platform designed to simplify infrastructure management for businesses, offering an all-inclusive Kubernetes-based environment with tools for DevOps, GitOps, and MLOps. -
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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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Cog
Bringing the power of the command line to chat
Cog brings the power of the command line to the place you collaborate with your team all the time, your chat window. Powerful access control means you can collaborate around even the most sensitive tasks with confidence. A focus on extensibility and adaptability means that you can respond quickly to the unexpected, without your team losing visibility. Use Cog to manage your infrastructure, support peer learning, and conduct collaborative research at the same time, right from chat. Cog is easy to install and simple to operate while remaining powerful enough to handle complex enterprise workflows. Cog brings the power of the command line to the place you collaborate with your team all the time, your chat window. Powerful access control means you can collaborate around even the most sensitive tasks with confidence. A focus on extensibility and adaptability means that you can respond quickly to the unexpected, without your team losing visibility. -
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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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Credo
A static code analysis tool for the Elixir language
Credo is a static code analysis and linting tool for the Elixir language, with an emphasis on promoting code consistency, teaching best practices, and helping developers identify refactoring opportunities, style inconsistencies, and potentially problematic code patterns. Elixir plugin for JetBrains IDEs (IntelliJ IDEA, Rubymine, PHPStorm, PyCharm, etc). Checks your code from style to security, duplication, complexity, and also integrates with coverage. -
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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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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.
