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WHAT IS AMANDA? --------------- This is a release of Amanda, the Advanced Maryland Automatic Network Disk Archiver. Amanda is a backup system designed to archive many computers on a network to a single large-capacity tape drive. Here are some features of Amanda: * written in C, freely distributable. * built on top of standard backup software: Unix dump/restore, and later GNU Tar and others. * will back up multiple machines in parallel to a holding disk, blasting finished dumps one by one to tape as fast as we can write files to tape. For example, a ~2 Gb 8mm tape on a ~240K/s interface to a host with a large holding disk can be filled by Amanda in under 4 hours. * does simple tape management: will not overwrite the wrong tape.

CQL::Parser provides a mechanism to parse Common Query Language (CQL) statements. The best description of CQL comes from the CQL homepage at the Library of Congress http://www.loc.gov/z3950/agency/zing/cql/ CQL is a formal language for representing queries to information retrieval systems such as web indexes, bibliographic catalogs and museum collection information. The CQL design objective is that queries be human readable and human writable, and that the language be intuitive while maintaining the expressiveness of more complex languages. A CQL statement can be as simple as a single keyword, or as complicated as a set of compoenents indicating search indexes, relations, relational modifiers, proximity clauses and boolean logic. CQL::Parser will parse CQL statements and return the root node for a tree of nodes which describes the CQL statement. This data structure can then be used by a client application to analyze the statement, and possibly turn it into a query for a local repository.

A simple string tokenizer which takes a string and splits it on whitespace. It also optionally takes a string of characters to use as delimiters, and returns them with the token set as well. This allows for splitting the string in many different ways. This is a very basic tokenizer, so more complex needs should be either addressed with a custom written tokenizer or post-processing of the output generated by this module. Basically, this will not fill everyones needs, but it spans a gap between simple split / /, $string and the other options that involve much larger and complex modules. Also note that this is not a lexical analyser. Many people confuse tokenization with lexical analysis. A tokenizer mearly splits its input into specific chunks, a lexical analyzer classifies those chunks. Sometimes these two steps are combined, but not here.

Larbin is a powerful web crawler (also called [web] robot, spider...). It is intended to fetch a large number of web pages to fill the database of a search engine. With a network fast enough, Larbin is able to fetch more than 100 million pages on a standard PC. Larbin was initially developed for the XYLEME project in the VERSO team at INRIA. The goal of Larbin was to go and fetch XML pages on the web to fill the database of an xml-oriented search engine. The following can be done with Larbin: o A crawler for a search engine o A crawler for a specialized search enginer (xml, images, mp3...) o Statistics on the web (about servers or page contents) Larbin is created by: Sebastien Ailleret

Eagle Mode is an advanced solution for a futuristic style of man-machine communication, in which the user can visit almost everything simply by zooming in. It has a professional file manager, file viewers and players for most of the common file types, a chess game, a 3D mines game, a multi-function clock and some fractal fun, all integrated in a virtual cosmos. By featuring a separate popup-zoomed control view, help texts in the things they are describing, editable bookmarks, multiple input methods, fast anti-aliased graphics, a virtually unlimited depth of panel tree, and by its portable C++ API, Eagle Mode aims to be a cutting edge of zoomable user interfaces.

This is a statistic plugin for Squeezebox Server. Squeezebox Server normally stores statistics about the last time a track was played, when a specific track was added to the library and how many times a track has been played. The problem is that all of these statistics are cleared every time you perform a full rescan of Squeezebox Server. The TrackStat plugin solves this problem by making sure that the statistics survive a rescan. Besides this TrackStat also extends the statistics a bit, one example is that it doesn't count a track as played just because you listen to the first 2 seconds of it, you will have to play a certain amount of the track until it is played. TrackStat also makes it possible to put a rating on all your tracks by holding a number between 1-5 down on the now playing screen. The other main functionality the TrackStat plugins provides is various ways to browse your music based on the statistic information. The standard Squeezebox Server only makes it possible to show most played tracks. The TrackStat plugin makes it possible to show the statistics in a lot more ways. The purpose is simply to give you another way to select which music you like to play, for example like: * Find tracks you haven't played for a long time * Find tracks you have recently added to the library * Find top rated tracks * Find least played tracks * And a lot more...

The Mousetweaks package provides mouse accessibility enhancements for the GNOME desktop. These enhancements are: 1. It offers a way to perform the various clicks without using any hardware button. 2. It allows users to perform a right click by doing a click&hold of the left mouse button. (For a left-handed mouse user, the terms left and right have to be inverted.) 3. It provides an applet that the user can install on a panel. This applet creates an area on the panel into which the pointer can be captured until the user releases it with a predefined button and modifier combination.

Gnomoradio is quickly becoming a fully-featured music player and peer to peer file sharing system. Here is a quick outline of its current features that more or less work: * Finds and plays mp3's and ogg's that are located on the user's hard drive * Sorts songs in playlists, including search playlists for songs that match a given criteria * Searches for, downloads and shares songs that are available under a Creative Commons license * Recommends songs based on a user's listening preferences, almost like a totally personalized radio broadcast

iperf is a tool for measuring the maximum TCP and UDP bandwidth along a path between two hosts. It allows the tuning of various parameters and UDP characteristics, and reports bandwidth, delay jitter, datagram loss. iperf was originally developed by NLANR/DAST. iperf3 is a new implementation from scratch, with the goal of a smaller, simpler code base, and a library version of the functionality that can be used in other programs. iperf3 also a number of features found in other tools such as nuttcp and netperf, but were missing from iperf 2.x. iperf3 is not backwards compatible with iperf 2.x.

nuttcp is a network performance measurement tool intended for use by network and system managers. Its most basic usage is to determine the raw TCP (or UDP) network layer throughput by transferring memory buffers from a source system across an interconnecting network to a destination system, either transferring data for a specified time interval, or alternatively transferring a specified number of bytes. nuttcp is based on nttcp, but have several useful features such as a server mode, rate limiting, multiple parallel streams, and timer based usage.