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Syndication bot for XMPP
Slixfeed
Slixfeed is a news aggregator bot for the XMPP communication network which aims to be easy to use and fully-featured. It provides a convenient access to Blog and News sites.
XMPP
XMPP is the Extensible Messaging and Presence Protocol, a set of open technologies for instant messaging, presence, multi-party chat, voice and video calls, collaboration, lightweight middleware, content syndication, and generalized routing of XML data.
Visit XMPP for more information on the XMPP protocol and check the list of XMPP clients.
Slixfeed is primarily designed for XMPP (aka Jabber), yet it is built to be extended to other protocols.
Features
- Visual interface - Interactive interface for XMPP using Ad-Hoc Commands,
- Ease - Slixfeed automatically scans (i.e. crawls) for syndication feeds of given URL.
- Export - Download articles as ePUB, HTML, Markdown and PDF.
- Filtering - Filter news items using lists of allow and deny.
- Multimedia - Display audios pictures and videos inline.
- Privacy - Redirect to alternative back-ends, such as Invidious, Librarian, Nitter, for increased privacy, productivity and security.
- Portable - Export and import feeds with a standard OPML file.
- Simultaneous - Slixfeed is designed to handle multiple contacts, including groupchats, Simultaneously.
Preview
monocles chat
Cheogram
Getting Started
Install
It is possible to install Slixfeed using pip inside venv.
$ python3 -m venv .venv
$ source .venv/bin/activate
$ pip install git+https://gitgud.io/sjehuda/slixfeed
$ slixfeed
Usage
- Add the bot to contact list and follow it instructions.
- Send command
help
orcommands
for a list of commands.
Recommended Clients
Slixfeed works with any XMPP chat client; if you want to make use of the visual interface Slixfeed has to offer (i.e. Ad-Hoc Commands), then you are advised to use Cheogram, Converse, Gajim, monocles chat, Movim, Poezio, Psi or Psi+.
Support
Please join our support groupchats whether you want help, discuss new features or just greet us.
Main (International)
Deutsch (German)
Authors
Acknowledgment
Special thank you to Mrs. Lapina who instructed me during months to complete this, in addition to significant code fixes.
Laura, I thank you greatly for your encouragement, time and help. This software would not have existed without you.
May this software be a life changing factor to people the world over.
License
MIT license.
Copyright
- Schimon Zackary 2022 - 2024
- Laura Lapina 2022 - 2023
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