BURDShell is a shell with common commands to help the developer manage and speed up their common tasks. It manages sites, databases, repos, backups, and apps. Once set up, the developer can enjoy the speed of setting up projects with the assurance of fast, restorable version controlled backups.
PGObject::Simple::Role provides an interface to the PGObject service locator for Moo and Moose Perl classes. This service locator is intended to integrate Perl objects with PostgreSQL user-defined functions, and this uses the "simple" mapping approach. Between PGObject::Simple::Rrole and PGObject::Util::DBMethod, it is possible to write fully-declarative classes in which all calculation logic is handed off to database functions.
Canumb aims to crunch data on various forms and turn them into something meaningful. A variety of inputs are currently supported, such as different number base conversions (decimal to hexadecimal, binary to hexadecimal, octal to decimal, etc.) and various encoded formats (a base64 encoder decoder and a URI encoder decoder). It's built to allow for extension when the future demands other input formats be crunched.
Quizzley is a simple site that allows you to create a quiz or a poll and distribute it to your audience. Once your audience pairs with the quiz/poll, their smartphone will automatically transform into the voting pad. It's a fast way to interact with your audience; no authentication or registration are needed.
Phailomatic is an intrusion prevention and denial of service mitigation service written in PHP. It can take advantage of POSIX and PCNTL if compiled into PHP. It requires PCRE and PHP 5.2+. It is mostly useful in the unusual circumstance where the PHP CLI is available and Python is not, thus preventing the use of Fail2ban or Denyhosts.
StreetSign is a digital signage system, originally written for the TeenStreet 2013 (Germany) youth congress. It works with a single server, and multiple client computers connect over the network. It is lightweight enough that a Raspberry PI can run as the server for smaller installations.
The Graphical Models Toolkit (GMTK) is a toolkit for rapidly prototyping statistical models using dynamic graphical models (DGMs) and dynamic Bayesian networks (DBNs). It can be used for speech and language processing, bioinformatics, activity recognition, and any time series application. It features exact and approximate inference, many built-in factors including dense, sparse, and deterministic conditional probability tables, native support for ARPA backoff-based factors and factored language models, parameter sharing, gamma and beta distributions, dense and sparse Gaussian factors, heterogeneous mixtures, deep neural network factors, and time-inhomogeneous trellis factors, arbitrary order embedded Markov chains, a GUI graph viewer, and much more.