Open Source Elixir Software for Mac - Page 4
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Elixir Software for Mac
View 15187 business solutionsBrowse free open source Elixir Software for Mac and projects below. Use the toggles on the left to filter open source Elixir Software for Mac by OS, license, language, programming language, and project status.
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ExMachina
Create test data for Elixir applications
ExMachina is part of the thoughtbot Elixir family of projects. ExMachina makes it easy to create test data and associations. It works great with Ecto, but is configurable to work with any persistence library. And start the ExMachina application. For most projects (such as Phoenix apps) this will mean adding :ex_machina to the list of applications in mix.exs. You can skip this step if you are using Elixir 1.4 or later. Add your factory module inside test/support so that it is only compiled in the test environment. build/2 is a function call. As such, it gets evaluated immediately. By default, ExMachina will merge the attributes you pass into build/insert into your factory. But if you want full control of your attributes, you can define your factory as accepting one argument, the attributes being passed into your factory. -
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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. -
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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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GraphQL Elixir
GraphQL Elixir
An Elixir implementation of Facebook's GraphQL. This is the core GraphQL query parsing and execution engine whose goal is to be transport, server and datastore agnostic. In order to setup an HTTP server (ie Phoenix) to handle GraphQL queries you will need plug_graphql. Examples for Phoenix can be found at hello_graphql_phoenix, so look here for a starting point for writing your own schemas. Other ways of handling queries will be added in due course. Tokenization is done with leex and parsing with yecc. Both very useful Erlang tools for parsing. Yecc in particular is used by Elixir itself. -
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Guardian
Elixir Authentication
Guardian is a token based authentication library for use with Elixir applications. Guardian remains a functional system. It integrates with Plug but can be used outside of it. If you're implementing a TCP/UDP protocol directly or want to utilize your authentication via channels in Phoenix, Guardian can work for you. The core currency of authentication in Guardian is the token. By default JSON Web Tokens are supported out of the box but you can use any token that Has the concept of a key-value payload, is tamper-proof, can serialize to a String, or that has a supporting module that implements the Guardian.Token behavior. You can use Guardian tokens to authenticate web endpoints (Plug/Phoenix/X), channels/Sockets (Phoenix - optional), and any other system you can imagine. If you can attach an authentication token you can authenticate it. -
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IElixir
Jupyter's kernel for Elixir programming language
Jupyter's kernel for Elixir. You can manage your packages in runtime with Boyle. Name of the package honours remarkable chemist, Robert Boyle. This package allows you to manage your Elixir virtual enviromnent without need of restarting erlang virtual machine. Boyle installs environment into ./envs/you_new_environment directory and creates new mix project there with requested dependencies. It keeps takes care of fetching, compiling and loading/unloading modules from dependencies list of that environment. -
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Jason
A blazing fast JSON parser and generator in pure Elixir
A blazing-fast JSON parser and generator in pure Elixir. The parser and generator are at least twice as fast as other Elixir/Erlang libraries (most notably Poison). The performance is comparable to jiffy, which is implemented in C as a NIF. Jason is usually only twice as slow. Both the parser and generator fully conform to RFC 8259 and ECMA 404 standards. The parser is tested using JSONTestSuite. The package can be installed by adding jason to your list of dependencies in mix.exs. Jason follows the JSON spec more strictly, for example, it does not allow unescaped newline characters in JSON strings - e.g. "\"\n\"" will produce a decoding error. No support for decoding into data structures (the as: option). No built-in encoders for MapSet, Range and Stream. No support for encoding arbitrary structs - explicit implementation of the Jason.Encoder protocol is always required. Different pretty-printing customization options (default pretty: true works the same). -
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Keila
Open Source Newsletter Tool
Keila is a fully open-source newsletter platform designed as a self-hosted alternative to services like Mailchimp or Sendinblue. It enables users to create and manage email campaigns, build customizable signup forms, and handle subscriber lists. Keila supports using a personal SMTP inbox for small-scale newsletters or integrating with major transactional email providers—AWS SES, Sendgrid, Mailgun, Postmark—for larger deployments. It offers a sleek WYSIWYG editor for campaign creation, version 0.17 adding features like mobile/desktop preview, preview emails, French localization, API enhancements, external contact IDs, and update notifications. Distributed under GNU AGPL‑3.0, and deployable via Docker or self-hosted using Elixir/Phoenix stack. -
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Kitto
Kitto is a framework for interactive dashboards written in Elixir
Kitto is a framework for interactive dashboards written in Elixir. The source for the demo dashboards can be found at: kittoframework/demo. Jobs are supervised processes running concurrently. Widgets are coded in the popular React library. Uses a modern asset tool-chain, Webpack. Allows streaming SSE to numerous clients concurrently with low memory/CPU footprint. Easy to deploy using the provided Docker images, Heroku (guide) or Distillery (guide). Can serve assets in production. Keeps stats about defined jobs and comes with a dashboard to monitor them (demo). Can apply exponential back-offs to failing jobs. Reloads code upon change in development. Kitto is a framework to help you create dashboards, written in Elixir / React. Widgets live in widgets/ are compiled using Webpack and are automatically loaded in the dashboards. Assets are rebuilt upon a change in development but have to be compiled for production. -
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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. -
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Manifold
Fast batch message passing between nodes for Erlang/Elixir
Erlang and Elixir make it very easy to send messages between processes even across the network, but there are a few pitfalls. Sending a message to many PIDs across the network also copies the message across the network many times. Send calls cost about 70 µs/op so doing them in a loop eventually gets too expensive. Manifold distributes the work of sending messages to the remote nodes of the PIDs, which guarantees that the sending processes at most only calls send/2 equal to the number of involved remote nodes. Manifold does this by first grouping PIDs by their remote node and then sending to Manifold.Partitioner on each of those nodes. The partitioner then consistently hashes the PIDs using :erlang.phash2/2, groups them by the number of cores, sends to child workers, and finally those workers send to the actual PIDs. This ensures the partitioner does not get overloaded and still provides the linearizability guaranteed by send/2. -
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Maru
Elixir RESTful Framework
Maru is a DSL for building HTTP/REST APIs in Elixir that emphasizes concise routing, parameter validation, and versioning. Inspired by Ruby’s Grape, it lets you describe endpoints declaratively—paths, verbs, and nested scopes—while composing reusable middleware via Plug. Strong parameter parsing and validators help keep controllers clean by moving input checking and coercion into the route layer. Built-in support for namespacing and API versioning simplifies rolling changes or maintaining multiple client generations side by side. Error handling, helpers, and content negotiation are wired into the DSL, so common cross-cutting concerns are consistent across endpoints. Because Maru sits on Plug and Cowboy, it retains Elixir’s performance and concurrency while making API development fast and readable. -
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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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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 -
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Papercups
Open-source live customer chat
Papercups is an open-source live customer support tool web app written in Elixir. We offer a hosted version at app.papercups.io. You can check out how our chat widget looks and play around with customizing it on our demo page. The chat widget component is also open-sourced. We wanted to make a self-hosted customer support tool like Zendesk and Intercom for companies that have privacy and security concerns about having customer data going to third-party services. Use Papercups to answer support tickets via email. Forward Twilio conversations and respond to SMS requests from Papercups. A customizable chat widget you can embed on your website to talk to your customers. Connect with Mattermost, so you can view and reply to messages directly from Mattermost. Connect with Slack, so you can view and reply to messages directly from a Slack channel. -
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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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Plug
Compose web applications with functions
Plug is a specification and set of utilities for building composable modules in Elixir web applications. It defines a standard connection interface, allowing developers to create “plugs” that act as middleware for handling requests and responses. Examples include parsing parameters, managing sessions, logging, or authentication, all of which can be plugged into a pipeline. Plug serves as the foundation for the Phoenix framework, which builds on it to deliver a full-featured web stack. The library supports both synchronous and streaming responses, making it adaptable to various web scenarios. Its modularity and composability promote clean, reusable code while remaining lightweight enough for microservices and APIs outside of Phoenix. -
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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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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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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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Scholar
Traditional machine learning on top of Nx
Traditional machine learning tools built on top of Nx. Scholar implements several algorithms for classification, regression, clustering, dimensionality reduction, metrics, and preprocessing. -
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Sobelow
Security-focused static analysis for the Phoenix Framework
Sobelow is a security-focused static analysis tool for the Phoenix framework. For security researchers, it is a useful tool for getting a quick view of points-of-interest. For project maintainers, it can be used to prevent the introduction of a number of common vulnerabilities. Potential vulnerabilities are flagged in different colors according to confidence in their insecurity. High confidence is red, medium confidence is yellow, and low confidence is green. A finding is typically marked "low confidence" if it looks like a function could be used insecurely, but it cannot reliably be determined if the function accepts user-supplied input. That is to say, if a finding is marked green, it may be critically insecure, but it will require greater manual validation. This project is in constant development, and additional vulnerabilities will be flagged as time goes on. If you encounter a bug, or would like to request additional features or security checks, please open an issue! -
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Standard Webhooks
The Standard Webhooks specification
Standard Webhooks is a community-driven specification and set of open-source tools designed to make webhooks consistent, secure, and interoperable across providers. The project defines strict guidelines covering aspects like signature formats, headers, timestamps, replay protection, and forward compatibility. It includes reference implementations for signature verification and signing across multiple languages such as Python, JavaScript/TypeScript, Go, Rust, Ruby, PHP, C#, Java, and Elixir, along with additional community SDKs. The initiative is guided by a technical steering committee with members from companies like Zapier, Twilio, Mux, ngrok, Supabase, Svix, and Kong. Standard Webhooks matters because it eliminates the fragmentation of webhook implementations, reducing consumer effort and enabling seamless verification in apps or even directly in API gateways. By unifying best practices, it improves developer experience, enhances security, and enables new ecosystem tools. -
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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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Swoosh
Compose, deliver and test your emails easily in Elixir
We have applied the lessons learned from projects like Plug, Ecto and Phoenix in designing clean and composable APIs, with clear separation of concerns between modules. Swoosh comes with many adapters, including SendGrid, Mandrill, Mailgun, Postmark and SMTP. Compose, deliver, and test your emails easily in Elixir. Swoosh supports the most popular transactional email providers out of the box and also has an SMTP adapter. Adding new adapters is super easy and we are definitely looking for contributions on that front. Get in touch if you want to help! Check the documentation of the adapter you want to use for more specific configurations and instructions. Swoosh does not make any special arrangements for sending emails in a non-blocking manner. Opposite to some stacks, sending emails, talking to third party apps, etc in Elixir do not block or interfere with other requests, so you should resort to async emails only when necessary.