Open Source Distributed Computing Software
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Distributed Computing Software
View 385 business solutionsBrowse free open source Distributed Computing software and projects below. Use the toggles on the left to filter open source Distributed Computing software by OS, license, language, programming language, and project status.
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Auth for GenAI | Auth0Easily implement secure login experiences for AI Agents - from interactive chatbots to background workers with Auth0. Auth for GenAI is now available in Developer Preview
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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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CORBA for PHP is a PHP Extension to use CORBA objects in PHP5(Zend Engine 2). It uses MICO as its ORB and will also provide an Idl-to-PHP language mapping specification and compiler. For a PHP4 CORBA support look at the great Universe-phpext.
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The CommGen platform is intended to be a simple, scalable integration platform for small to medium problem sets. The architecture is simple, consisting of a distributed kernel, distributed O/S, agent and application layer.
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This project is an attempt to design strongly typed langauge like C# or Java using capability security model. This is an reseach project. This project is also a temporary home for async-objects projects which is prototype of classes for asynchronous inte
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The XPS is a scalable platform for meta-programming and domain engineering. It provides a virtual machine, compiler, and runtime library that make it possible to efficiently develop, debug, and run programs based on XPL (eXtensible Programming Language)
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Powering the best of the internet | FastlyEnsure your websites, applications and services can effortlessly handle the demands of your users with Fastly. Fastly’s portfolio is designed to be highly performant, personalized and secure while seamlessly scaling to support your growth.
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A data parallel scientific programming model. Compiles efficiently to different platforms like distributed memory (MPI), shared memory multi-processor (pthreads), Cell BE processor, Nvidia Cuda, SIMD vectorization (SSE, Altivec), and sequential C++ code.
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