LibreNMS is an autodiscovering PHP/MySQL-based network monitoring system forked from Observium. It aims to be easy to use and painless to deploy, and to support monitoring of a wide range of devices. Observium's license changed to a modified QPL license in May 2012, then was split into free and commercial versions. The aim of LibreNMS is to continue to create a usable NMS, but with a community focus and GPL licensing.
Music Stream Vote is a WordPress plugin and IRC bot which collect votes on what’s playing on your IceCast music station. It features polling the IceCast .xspf URL for the current artist and title, announcing track changes in an IRC chat, collecting votes from the chat room and streaming track changes on a WordPress site, and top (n) lists.
Pies is a Python 2 and Python 3 compatibility layer with the philosophy that all code should be Python 3 code. Starting from this viewpoint means that when running on Python 3, Pies adds virtually no overhead. Instead of providing a bunch of custom methods (leading to Python code which looks out of place on any version), Pies aims to backport as many of the Python 3 API calls, imports, and objects to Python 2 as possible, relying on special syntax only when absolutely necessary.
P* (P-star) is a Web programming language that incorporates common tasks like template handling and database queries into the language. It features MySQL database access with prepared statements, HTML templates, standard arithmetic and variables, functions, structs, (to-be-classes), JSON output, and GET and POST. Programs can be run on the command line, in a CGI environment, or by the P* Apache Module.
RioFS is a userspace filesystem for Amazon S3 buckets that runs on Linux and Mac OS X. It supports versioned and non-versioned buckets in all AWS regions. RioFS is intended as a storage backend for legacy daemons that cannot talk natively to S3. It handles buckets with many thousands of keys and highly concurrent access gracefully.
RecDB is a recommendation engine built entirely inside PostgreSQL 9.2. It allows application developers to build recommendation applications using a wide variety of built-in recommendation algorithms such as user-user collaborative filtering, item-item collaborative filtering, and singular value decomposition. Applications powered by RecDB can produce online and flexible personalized recommendations to end-users. It is easily used and configured and allows novice developers to define a variety of recommenders that fits their application's needs in few lines of SQL. It can seamlessly integrate recommendation functionality with traditional database operations.