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Xcftools is a set of fast command-line tools for extracting information from the Gimp's native file format XCF. The tools are designed to allow efficient use of layered XCF files as sources in a build system that use 'make' and similar tools to manage automatic processing of the graphics. These tools work independently of the Gimp engine and do not require the Gimp to even be installed.

Peps will preprocess encapsulated Postscript files for conversion by Ghostscript into bitmaps. It provides variable levels of resolution and anti-aliasing. You can use it as a stand-alone Postscript-to-bitmap conversion program, or use it on-line to create bitmaps on the fly and send them out to a web browser, even compressing them if the browser supports gzip compression. Xpeps is peps with X11 support.

zgv is an svgalib-based viewer which views GIF, JPEG, PNG, PBM/PGM/PPM, TIFF, BMP, TGA, PCX, mrf, XBM, and XPM files, with a full-screen file selector front-end. It can be used as a simple command, with zgv filename(s), which bypasses the front-end. For more on how zgv works and how to use it, do `info zgv' or `man zgv' once it's installed.

CtrlProxy runs on a computer with a 24/7 internet connection and allows you to transparently connect to IRC from anywhere on the world to your nick. It connects to one or more IRC servers and then allows you to connect to it with any number of clients, providing access to these servers. This is very useful if you don't want to leave IRC but still want to be able to use it from home, school or work.

LostIRC is an IRC client for X, written in C++ using gtkmm as a widget set. The goal of the first stable version, is to make a simple, keyboard controlled IRC application with basic features implemented. Key features: * Simple and minimal client, where the keyboard can be used almost exclusively * Tab-completion for both nicks and commands * Autojoin servers and set which IRC commands to execute on connect * Multi-server support * DCC SEND support

An Internet Relay Chat client written in perl, that uses a perl-based scripting language. It is small (150k or less), fast, and gives you a good chance to practice your perl skills. :) It has an interface that closely emulates ircII and comes with some useful sample scripts that will get you started on IRC quickly. No knowledge of perl is necessary to run the client although it is helpful if you plan to do any scripting.

Mutt is a small but very powerful text-based MIME mail client. Mutt is highly configurable, and is well suited to the mail power user with advanced features like key bindings, keyboard macros, mail threading, regular expression searches and a powerful pattern matching language for selecting groups of messages. This is japanized development version. see /usr/local/share/doc/mutt/README.JA-PATCH - IWASHITA Yoji shuna@pop16.odn.ne.jp

Zinnia is a simple, customizable, and portable online hand recognition system based on Support Vector Machines. Zinnia simply receives user's pen strokes as a sequence of coordinate data and outputs n-best characters sorted by SVM confidence. For portability's sake, Zinnia does not include any rendering functionality. In addition to recognition, Zinnia provides training module that allows one to create any hand-written recognition systems with low-cost. This port provides Python interface to the library.

Zinnia is a simple, customizable and portable online hand recognition system based on Support Vector Machines. Zinnia simply receives user pen strokes as a sequence of coordinate data and outputs n-best characters sorted by SVM confidence. To keep portability, Zinnia doesn't have any rendering functionality. In addition to recognition, Zinnia provides training module that allows us to create any hand-written recognition systems with low-cost.

Zinnia is a simple, customizable and portable online hand recognition system based on Support Vector Machines. Zinnia simply receives user pen strokes as a sequence of coordinate data and outputs n-best characters sorted by SVM confidence. To keep portability, Zinnia doesn't have any rendering functionality. In addition to recognition, Zinnia provides training module that allows us to create any hand-written recognition systems with low-cost.