Managed TFTP server is a TFTP server. The main TFTP class runs without modifications on Mono. It works both in IPv4 and IPv6 mode. It has correct retry behavior. It supports the following TFTP options: block size, transfer size, and timeout. It's possible to run in single port mode, which ensures that only port 69 will be used for TFTP transfers, simplifying firewall and router configuration. It supports many concurrent transfers. It runs as a Windows service. It supports multiple TFTP servers on different endpoints, each serving its own root directory. It has an advanced MSI-based installer. It logs to the windows event log. It has a permissive MIT license so it can be used in commercial projects.
The SimpleV4L2 is a Linux V4L2 grabber program that shows, in XRender accelerated X windows on the screen, a memory RGB buffer captured with the Video For Linux 2 API provided by the libv4l library. It has support for SSSE3 instructions for converting RGB to RGBA zones of memory.
MySQLi Query is a class that executes queries from parameter lists using MySQLi. It extends the MySQLi class with functions that can compose and execute SELECT, INSERT, UPDATE, DELETE, REPLACE, and HANDLER queries with parameter values that define tables, fields, field values, conditions, etc. The class destructor function disconnects from the MySQL server.
DVelum is a professional development platform which aims at automating routine development tasks and facilitates programming by means of a graphical interface. The platform simplifies and accelerates the development process and allows for concentrating directly on the business logic, aside from low-level problems. This is not another CMS or framework, it is a platform for the development of systems with a complex internal structure, such as eCommerce, CRM, WebScada, etc., while the development of simple sites with its help is as easy and pleasant.
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).