Ingatan is a clean, intuitive, and highly flexible memory quiz generator. It is perfect for a huge range of applications, including learning languages, remembering physics equations, labelling anatomical diagrams, practising any type of exam question, and reviewing organic chemistry mechanisms. When asking questions, a bias is placed toward those with a low historical grade. An inline symbol menu makes it easy to insert non-keyboard characters. Questions are intelligently organised into libraries, and libraries into groups, and can easily be shared.
TML turns text into HTML using a wiki-like markup. Unlike txt2tags, TML does not support multiple output formats (although there is some support for word documents through a separate project). HTML tags may be freely mixed into the source where desired. The output is easy to read and supports table-free CSS layouts. .include files can be used to insert blocks of code such as Google ads that appear on multiple pages. The code was written with technology normally used for software compilation for faster, more accurate parsing.
CPC (Continuation Passing C) is a programming language designed for writing concurrent systems. The CPC programmer manipulates very lightweight threads, choosing whether they should be cooperatively or preemptively scheduled at any given point; the CPC program is then processed by the CPC translator, which produces highly efficient event-loop code. This approach gives the best both worlds: the relative convenience of programming with threads, and the low memory usage of event-loop code. The semantics of CPC is defined as a source-to-source translation from CPC into plain C using a technique known as conversion into Continuation Passing Style. The current implementation of CPC has been used to write Hekate, a BitTorrent seeder designed to handle millions of simultaneous torrents and tens of thousands of simultaneously connected peers.
FMRD-Desktop is a GUI application that facilitates data entry into the Football Match Result Database (FMRD). The FMRD maintains match result data in order to support football (soccer) analytics research and development. These data include high-level match data (competitions, venues, and teams), personnel data (players, managers, and central referees), match lineups, and match events (goals, penalties, disciplinary incidents, substitutions).