Open Source Erlang Libraries
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Erlang Libraries
View 74 business solutionsBrowse free open source Erlang Libraries and projects below. Use the toggles on the left to filter open source Erlang Libraries by OS, license, language, programming language, and project status.
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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Searching for a better way to ship ecommerce? We can helpShipHero is built for multi-channel commerce. With a few clicks, you can connect your stores. ShipHero will download new products, as well as sync existing ones. When changes are made to your inventory all connected stores will be updated.
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As examples and best practices for using Erlang Common Test are rare, this project aims to make a collection of how-to's and example code showing best practices for solving common tasks involving Erlang Common Test.
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Erlang Resource Pool
Resource Pool manages reusable resources among multiple processes.
Resource pool project is written in Erlang as a tiny library. The goal of the tool is reduce the overhead of creating new resources by reusing of the same resources among multiple processes. Achieving result is better performance and throughput. The resource pool was inspired by Java Apache's commons pool and adopts API and main principals from this project. Database connection is most popular example for pooling resource. -
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SkePi
Data parallel and stream parallel skeletons implemented in erlang.
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Accounting Software Built for Owners, and Their ClientsBalancing your books, client relationships, and business isn’t easy. FreshBooks gives you the info and time you need to focus on your big picture—your business, team, and clients.
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z-utalm
Unified Test and Logging layer for multiple programming languages
Modern software systems and application are commonly written in multiple languages, include scripting engines, and are frequently build on multiple specialized frameworks and middleware for a considerable diversity of runtime environments. The latest influencing update in development paradigm is the application of multicore processors. This projects is aimed to unify the required trace and logging output and integrate into debugging environments. The target is to provide general development, test, and production support of software environments based on multiple programming languages for distributed multicore environments.
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