Azureus brings the popular Java-based BitTorrent client to a new level of stability, usability, and speed.
Very actively developed, this latest version includes a new split-window MyTorrents view with support for categories and advanced downloading / seeding / queuing rules for powerful and automated torrent management, a customizable user interface, seeding from read-only media, and significant reductions in resource usage.
The multiplatform Azureus client greatly extends the original python client's feature set, with: managing multiple downloads at once from a single GUI window, detailed real-time download statistics with export to XML, advanced download and seeding management rules, configuration and torrent creation wizards, embedded tracker for easy and automated hosting of your own files, PeerGuardian IP address filtering, web browser and console UIs, 27 available languages, a powerful plugin interface, and much much more.
What's New in This Release:
Send to Friend
· A wizard to simplify sending a link to content to a friend or to embed in a web page (e.g. a blog).
Auto upload speed
· This feature controls your upload speed based on the latency of your internet connection as gauged by pinging other members of the Distributed Database.
Other new features
· Open .torrent files into Azureus via Finder/Desktop/etc.
· 'Do not download' files handled more consistently with respect to download completion.
· Renaming of a download directories.
· Moving of data files on torrent removal from Azureus.
· Signed updates and plugins for improved security.
· Interface improvements - more information: date added, idle times, new info view, file piece view; more per-torrent options.
· Debug information generator.
· More in the changelog.
· Don't forget to check the plugins - http://azureus.sourceforge.net/plugin_list.php
· New remote control plugin - AzSMRC
Bug fixes and performance improvements
· Notable fixes:
· LAN Peer Finder retains peers more effectively; explicit LAN peer identification.
· Reduced CPU usage when connected to large numbers of peers.
Requirements:
