Open Source Elixir Software Development Software
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Elixir Software Development Software
View 4673 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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Cloud SQL manages your databases so you don't have to, so your business can run without disruption. It automates all your backups, replication, patches, encryption, and storage capacity increases to give your applications the reliability, scalability, and security they need.
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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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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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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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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. -
Chat with your business data with Looker. More than just a modern business intelligence platform, you can turn to Looker for self-service or governed BI, build your own custom applications with trusted metrics, or even bring Looker modeling to your existing BI environment.
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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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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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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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Elchemy
Write Elixir code using statically-typed Elm-like syntax
Elchemy lets you write simple, fast, and quality-type safe code while leveraging both the Elm's safety and Elixir's ecosystem. Elchemy is a set of tools and frameworks, designed to provide a language and an environment as close to Elm programming language as possible, to build server applications in a DSL-like manner for Erlang VM platform, with a readable and efficient Elixir code as an output. ML-like syntax maximizes expressiveness with additional readability and simplicity constraints. Tagged union types and type aliases with type parameters (aka generic types). Powerful type inference means you rarely have to annotate types. Everything gets checked for you by the compiler. The produced code is idiomatic, performant and can be easily read and analyzed without taking a single look at the original source. Elchemy's type system eliminates almost all runtime errors. . -
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Elixir Language Server
A frontend-independent IDE "smartness" server for Elixir
Implementing features such as auto-complete or go-to-definition for a programming language is not trivial. Traditionally, this work had to be repeated for each development tool and it required a mix of expertise in both the targeted programming language and the programming language internally used by the development tool of choice. The Elixir Language Server (ElixirLS) provides a server that runs in the background, providing IDEs, editors, and other tools with information about Elixir Mix projects. It adheres to the LSP, a standard for frontend-independent IDE support. Debugger integration is accomplished through a similar VS Code Debug Protocol. These pages contain all the information needed to configure your favorite text editor or IDE and to work with the ElixirLS. You will also find instructions on how to configure the server to recognize the structure of your projects and to troubleshoot your installation when things do not work as expected. -
Qrvey is a low code embedded analytics platform built to help SaaS providers by simplifying the process of putting analytics tools in the hands of all users as fast as possible.
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ElixirScript
Converts Elixir to JavaScript
The goal is to convert a subset (or full set) of Elixir code to JavaScript, providing the ability to write JavaScript in Elixir. This is done by taking the Elixir AST and converting it into JavaScript AST and then to JavaScript code. This is done using the Elixir-ESTree library. This release includes one major addition and a number of important changes. ElixirScript.Test ElixirScript.Test is a framework for testing Elixir modules that interact with JavaScript via the FFI. For all other modules, ExUnit is still recommended. ElixirScript.Test’s API is similar to ExUnit’s API. ElixirScript.Test files must be placed in a folder named test_elixir_script. Tests are compiled and then are executed using node.js. ElixirScript can now take a path to compile. This is to support the compilation of modules defined in .exs files For more information regarding changes, please check the changelog. -
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ExAdmin
ExAdmin is an auto administration package for Elixir
ExAdmin is an auto-administration package for Elixir and the Phoenix Framework. This version has been updated to support both Ecto 1.1 and Ecto 2.0. ExAdmin is an auto-administration package for Elixir and the Phoenix Framework, a port/inspiration of ActiveAdmin for Ruby on Rails. Checkout the Live Demo. The source code can be found at ExAdmin Demo. Checkout this Additional Live Demo for examples of many-to-many relationships, nested attributes, and authentication. ExAdmin is an add on for an application using the Phoenix Framework to create a CRUD administration tool with little or no code. By running a few mix tasks to define which Ecto Models you want to administer, you will have something that works with no additional code. ExAdmin will use your schema's changesets. By default we call the changeset function on your schema, although you can configure the changeset we use for update and create separately. -
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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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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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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. -
Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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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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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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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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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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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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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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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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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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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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Wallaby
Concurrent browser tests for your Elixir web apps
Wallaby helps you test your web applications by simulating realistic user interactions. By default, it runs each test case concurrently and manages browsers for you. Here's an example test for a simple Todo application. Because Wallaby manages multiple browsers for you, it's possible to test several users interacting with a page simultaneously. Read on to see what else Wallaby can do or check out the Official Documentation. Wallaby also requires bash to be installed. Generally, bash is widely available, but it does not come pre-installed on Alpine Linux. If you're testing a Phoenix application with Ecto and a database that supports sandbox mode, you can enable concurrent testing by adding the Phoenix.Ecto.SQL.Sandbox plug to your Endpoint. It's important that this is at the top of endpoint.ex before any other plugs.