proghelp generates a Web application using a modified create table SQL syntax. It generates PosgreSQL stored procedures, a db layer, a BLL layer, a Web interface using WebToolkit (Wt), and random data for testing. It sets up default security: authentication and authorization. Modified SQL grammar allows you to mark search keys: the project automatically generates function calls and stored procedures with these search keys and exposes them in the UI. The project looks at foreign key references and automatically builds select dialog boxes.
Psensor is a graphical hardware temperature monitor for Linux. It can monitor temperatures of the different hardware sensors (motherboard and CPU using lm-sensors), hard disk drives (hddtemp/libatasmart), and ATI/Nvidia GPUs. The fan can also be monitored (lm-sensors). Psensor is designed to be simple and easy to use.
psinfo shows process information and statistics using the kernel /proc interface. This information includes: process state, environment, arguments and flags; CPU usage; scheduling; I/O usage; virtual memory status; pagefaults; capabilities; and signals. psinfo is useful for providing a detailed view of the current state of an application when diagnosing issues or performance problems.
puddletag is a tag editor for Linux loosely based on mp3tag. It uses a table layout so that all the tags you want to edit by hand are visible and easily editable. puddletag excels at automating repetitive tasks like extracting tag information from filenames, tagging files from a text file or the clipboard, renaming or moving files and folders based on tags by using patterns, and manipulating tags using actions and regular expressions. Supported formats include id3v1, id3v2 (.mp3), AAC (.m4a), VorbisComments (.ogg, .flac), and APEv2 (.ape). Much of mp3tag's functionality has been replicated with added enhancements and tweaks.
pyECTOR is a chatterbot which learns from what people say. It is based on an artificial intelligence architecture that is inspired by Copycat, an AI system from Mitchell and Hofstadter. The Concept Network it uses is a mix between neural and semantic networks. It uses co-occurrences to compute the influence of one semantic node on another. The links are statistically weighted.