Open Source Elixir Software Development Software
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Elixir Software Development Software
View 6005 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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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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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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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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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. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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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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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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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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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
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. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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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. -
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Scenic
Core Scenic library
Scenic is a UI framework built directly on Elixir/Erlang/OTP for creating polished, fault-tolerant client applications. It targets both embedded/IoT and desktop scenarios, leveraging OpenGL for 2D rendering and embracing the OTP ecosystem for concurrency and reliability. -
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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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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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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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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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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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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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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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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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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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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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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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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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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.
