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A utility designed for the use of interfacing with Rio's third through fifth generations of portable mp3 players; Rio 600/800/900/S-Series/Riot/psa[play/Fuse/Chiba/Cali/Nitrus.
This code provides support for Diamonds Rio 500 digital audio player under Linux (Intel, PPC and Alpha platforms) and *BSD. It includes a kernel module (need a 2.3.x kernel) and line command utilites to manage folders and upload songs to it.
A simple (hopefully nice) GUI for rioutil (s. rioutil project at sourceforge.net). Communication with the players is done by rioutil. JRio is only approved to work with the Rio Chiba but is likely to work with other players supported by rioutil, too.
"Java-based" replacement software for Sonic Blue Rio Receivers (and the likes). Does mp3, ogg-vorbis, flac and shoutcast and can sync playback between a group of Receivers. Also has a simple Clock.
Riotware is a command-line utility that provides *nix users with a way to manage the content on their Rio Riot digital audio player. GUI support will hopefully be added in the future. Riotware does not provide support for other Rio audio players.
rio500_tui is a text user interface to your Diamond Rio 500. It provides a file manager style interface to the lib rio500 available at http://rio500.sf.net. It is written in Perl using the cpan module Term::Clui. It is quick and easy to use and unders
JReceiver is a servlet-based audio server which features tightly
integrated metadata indexing capabilities, browser-based management,
an XML-RPC interface and support for network-based MP3 players like the
Rio Receiver from Sonic Blue.
RioPlay is a replacement player application for the Rio Receiver and clones such as the Dell Digital Audio Receiver. Our goal is to support playback of MP3 and possibly OGG files as well as streaming media.
An open-source replacement for the client software that runs on the Rio Reciever. This will support additional audio formats, audio streams, as well as other neat functionality.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.