Displaying 1 to 18 from 18 results

stringer - A self-hosted, anti-social RSS reader.

  •    Ruby

Stringer has no external dependencies, no social recommendations/sharing, and no fancy machine learning algorithms. Stringer is a Ruby (2.3.0+) app based on Sinatra, ActiveRecord, PostgreSQL, Backbone.js and DelayedJob.

MagpieRSS - XML-based RSS parser in PHP

  •    PHP

MagpieRSS is compatible with RSS 0.9 through RSS 1.0. Also parses RSS 1.0's modules, RSS 2.0, and Atom. (with a few exceptions)

Simplepie - PHP library to manage RSS feeds

  •    PHP

Simplepie is an easy to use API that handles all of the dirty work when it comes to fetching, caching, parsing, normalizing data structures between RSS and Atom formats, handling character encoding translation, and sanitizing the resulting data.

XML::RSS - RSS feeds using Perl

  •    Perl

This module provides a basic framework for creating and maintaining RDF Site Summary (RSS) files. This distribution also contains many examples that allow you to generate HTML from an RSS, convert between 0.9, 0.91, and 1.0 version, and other nifty things.




RSS.PY - parser and the serializer in Python

  •    Python

This library provides tools for working with RSS feeds as datastructures. The core is an RSS parser capable of understanding most RSS formats, and a serializer that produces RSS1.0. The RSS channel itself can be represented as any arbitrary data structure; two such structures are provided both as examples and to service common usage. This approach allows channels to be manipulated and stored ina fashion that suits both their semantics and the applications that access them.

RSSOwl

  •    Java

Applications that collect data from RSS-compliant sites are called RSS readers or "aggregators." RSSOwl is such an application. RSSOwl lets you gather, organize, update, and store information from any compliant source in a convenient, easy to use interface, save selected information in various formats for offline viewing and sharing, and much more. It's easy to configure and the best of all: It's platform-independent.

FeedReader - Modern desktop application designed to complement existing web-based RSS accounts.

  •    Vala

FeedReader is a modern desktop application designed to complement existing web-based RSS accounts. It combines all the advantages of web based services like synchronisation across all your devices with everything you expect from a modern desktop application. The Flatpak build works on any distro and will always track the newest release. For that reason, it's the only way we recommend that you install FeedReader (we really don't have the resources to support multiple distro-specific package).


FeedParser - Parse RSS and Atom feeds in Python

  •    Python

Universal Feed Parser is a Python module for parsing syndicated feeds. It can handle RSS 0.90, Netscape RSS 0.91, Userland RSS 0.91, RSS 0.92, RSS 0.93, RSS 0.94, RSS 1.0, RSS 2.0, Atom 0.3, Atom 1.0, and CDF feeds. It also parses several popular extension modules, including Dublin Core and Apple's iTunes extensions.

RSS.NET - .NET library for RSS feeds

  •    CSharp

RSS.NET is an open-source .NET class library for RSS feeds. It provides a reusable object model for parsing and writing RSS feeds. It is fully compatible with RSS versions 0.90, 0.91, 0.92, and 2.0.1, implementing all constructs.

feedhq - FeedHQ is a web-based feed reader

  •    Python

Then deploy the Django app using the recipe that fits your installation. More documentation on the Django deployment guide. The WSGI application is located at feedhq.wsgi.application.

CommaFeed - Self-hosted RSS reader

  •    Java

CommaFeed is Google Reader inspired self-hosted RSS reader, based on JAX-RS, Wicket and AngularJS. It can be deployed on OpenShift, your own server.

feedme.js - RSS/Atom/JSON feed parser

  •    Javascript

feedme.js is an RSS/Atom/JSON feed parser. How is this different from the other few feed parsers? It uses sax-js for xml parsing and clarinet for json parsing. That means it is coded in pure Javascript and thus more deployable. I needed a parser that wouldn't require me to install external dependencies or to compile anything. Creates a new instance of the FeedMe parser. buffer can be true if you want the parser to buffer the entire feed document as a JSON object, letting you use the FeedMe#done() method.

node-feedsub - Subscribes to RSS/Atom/JSON feeds and notifies on new items.

  •    Javascript

FeedSub subscribes to a remote RSS/Atom/JSON feed and notifies you of any new items it reads. It works by checking the feed every once in a while, comparing the date of the document via a conditional GET if supported. Otherwise it looks for a date tag in the feed. If it's the same as the last date, it stops downloading it and parsing the xml/json. If it's an updated document, then it looks through it top to bottom taking note of all the new items. Once it finds something it has already read, it stops downloading and parsing the document.

FeedParser - An RSS and Atom feed parser written in Swift

  •    Swift

FeedParser and been renamed FeedKit and moved to a new repository. The sole reason for deprecating the FeedParser repository lies under the need to rename the framework while keeping a consistent use of it's new name. The new repository FeedKit will be under active development and maintenance.

Gofr - Feed Reader for App Engine (Google Reader clone)

  •    Go

Gofr is a Feed Reader (Google Reader clone) for Google App Engine. It grew out of my frustration with the relational backend of grr and my inability to optimize it beyond unsatisfactory results. Gofr is written in Go, and uses the Google Cloud Datastore. It was one of the finalists in Google Cloud Developer Challenge 2013.

JARR - JARR is a web news aggregator.

  •    Python

JARR (which stands for Just Another RSS Reader) is a web-based news aggregator and reader. JARR is under ongoing developments and functionnalities are regularly added. For past and futur updates see the milestones. However JARR is stable and can function as easily on a light installation with the python SimpleHTTP server and a SQLite database or on a more heavy setup with nginx or apache running against a PostGreSQL database.