Archivist is a network device configuration archiving and versioning program. It uses Subversion as its revision control system. Its multithreaded design makes it quite fast and thus suitable for operation on large networks with thousands of network devices. It supports Cisco IOS, Cisco CatOS, Juniper JUNOS, and Brocade/Foundry MLX series, but it can be easily extended to support any SSH or telnet-based network device by creating your own config download and post-processing scripts.
dhcpy6d delivers IPv6 addresses for DHCPv6 clients, which can be identified by DUID, hostname, or MAC address, as in the good old IPv4 days. Addresses may be generated randomly, by range, or by arbitrary ID or MAC address. Clients can get more than one address, leases and client configuration can be stored in databases, and DNS can be updated dynamically.
Barman (backup and recovery manager) for PostgreSQL is an administration tool for disaster recovery of PostgreSQL servers. It allows remote backups of multiple servers in business-critical environments and helps DBAs during the recovery phase. Barman's most-wanted features include backup catalogs, retention policies, remote recovery, archiving, and compression of WAL files and backups.
Speedpad is a small and portable ncurses-powered tool to test, train, and increase typing speed on arbitrary text input. It is designed for intermediate-to-advanced level typists and assumes that you have already learned how to touch type. It does not use lessons, single words, or other synthetic stuff. It supports tab expansion, auto indentation, and syntax to train on code. It features a reference speed robot and supports CPS, CPM, WPM, PPM, and CPH/KPH metrics. It shows detailed statistics about speed and helps find and eliminate frequent typos. Stats are dumped to standard output in a machine-readable format after completion, and can be piped into gnuplot.
pg-python provides access to Python from PostgreSQL. It contrasts with the built-in procedural language by interfacing with PostgreSQL types rather than converting them. This allows large instances of data types to be handled with greater efficiency while also allowing reasonable support for arbitrary data types without the need for a specialized implementation. Procedures are managed as entire modules so that initialization can be performed naturally by a stored procedure (each PostgreSQL function has a "main" entry point). Import statements may exist in a more natural position, and the "main" entry point may be decorated.