Search Results for "pvgn-support-1.2zip"

Podcast Generator is an open source Content Management System written in PHP and specifically designed for podcast publishing. It provides the user with the tools to easily manage all of the aspects related to the publication of a podcast, from the upload of episodes to its submission to the iTunes store.

PHP class to parse several feeds at same time and give ordered result. Support RSS 0.9x/1.0/2.0, RDF, and Atom. Support some namespaced modules like Media RSS, iTunes, Dublin Core, and more... Include class to make RSS rewriting or filtering.

Multi-user, full-featured, web-based RSSReader was developed for server based reading of RSS channels. It was developed to keep data on our own server and to support protected feed from internal sources. Web-based RSS Reader was created for ASW Systems - http://www.septim.cz.

A simple to use jQuery-based scriptlet that allows you to render HTML within a P tag (can be changed to DIV, SPAN etc with minor modifications) from an RSS/XML feed. It is capable of making cross-domain subscriptions without the need of any server-side support. (overcome single origin policy) Features: 1. Low footprint: compact script - 2.25KB (requires jquery-minimal 1.5+) 2. Ease of use: link the script to your html and add an empty <p id='feedPanel' rssurl='<feed url>' feedcount='<number...

Vienna is a freeware Mac OSX off-line reader for the CIX conferencing system with additional support for RSS/Atom feeds.

NNTP client written in C# (Mono). Support for download binary files and RSS.

Tiny Java RSS / RDF / Atom Aggregator for desktop. Using Thinlet as interface, it's goal is to provide a cross-platform and lightweight feeder. Skins, antialiasing and multi-language support, because news reading needs to be the most pleasant possible!

A podcast aggregator written in Python using GTK. Users can subscibe to podcasts and download the latest episodes to their hard drive (iPod support is planned).

Search though multiple (configurable) information sources at once: results are presented side-by-side. Intended to support all information sources that implement OpenSearch, and more.