CloudI is an open-source private cloud computing framework for efficient, secure, and internal data processing. CloudI provides scaling for previously unscalable source code with efficient fault-tolerant execution of ATS, C/C++, Erlang/Elixir, Go, Haskell, Java, JavaScript/node.js, OCaml, Perl, PHP, Python, Ruby, or Rust services.
The bare essentials for efficient fault-tolerant processing on a cloud!
The ERDialog project offers a simple browser framework for small projects written in Erlang. Written applets include a bittorrent client, address book, text editor, AI experiments and graphics and music applications.
...OSDL is a high level open source (LGPL/GPL) portable multimedia library, built upon Sam Lantinga's SDL (http://www.libsdl.org). Its goal is to provide a high level C++ framework to ease game development.
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,...
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The Erlang Web is a framework for applications based on HTTP protocols, relieving the developer from implementing behaviours frequently used in dynamic pages.
A high-level framework for web-based community development of web applications. The code is released under the Erlang Public License - the same license which is used for Erlang/OTP.
A semantic memory software tool “reflects” one's “imagination”. In it, arbitrary concepts may be described, stored, arranged, transformed, and shared. One may verbalize thoughts as they arise in the mind to externalize and digitize “mental obj
Pari-Distributed is a mostly Erlang framework that lets you split up trivially parallelizable loops in GP across multiple nodes. Its goal is to dynamically manage a list of active nodes and split up work units fairly across remote nodes.