Canto is an Atom/RSS feed reader for the console that is meant to be quick, concise, and colorful.
It supports all major news formats RSS/RDF and Atom, as well as importing from and exporting to OPML. The news content is easily downloadable and as such Canto also has limited podcasting support.
It is intended to allow users to crank through feeds by providing a minimal, yet information packed interface.
There is no navigating menus, and no dense blocks of unreadable white text. An interface with almost infinite customization and extensibility using the excellent Python programming language. Everything used to configure Canto is actually part of the Python interpreter.
- Atom/RSS/RDF compliant.
- Supports OPML.
- Integrated with both graphical and text browsers.
- Built in reader with full HTML parser and providing access to all links and enclosures (video/audio) in an item.
- Fetching program that can be run as a daemon or a cron job.
- Uses feedparser to parse virtually any feed format.
- Easily use custom filters to discard uninteresting items.
- Ability to sort feeds with custom sorts.
- Advanced tags allow you to group items and feeds together.
- Extremely flexible and powerful theming, including the ability to add extra content (like authors, dates, diggs, comments, etc).
- Supports Unicode/UTF-8.
- Liferea / Snownews extensions are supported.
Developer: Jack Miller
License: GNU GPL v2
Canto is written in Python. Learn Python with our recommended free books and free tutorials.
Return to News Aggregators Home Page
|The largest compilation of the best free and open source software in the universe. Each article is supplied with a legendary ratings chart helping you to make informed decisions.|
|Hundreds of in-depth reviews offering our unbiased and expert opinion on software. We offer helpful and impartial information.|
|Replace proprietary software with open source alternatives: Google, Microsoft, Apple, Adobe, IBM, Autodesk, Oracle, Atlassian, Corel, Cisco, Intuit, and SAS.|
|Machine Learning explores practical applications of machine learning and deep learning from a Linux perspective. This is a new series.|
|New to Linux? Read our Linux for Starters series. We start right at the basics and teach you everything you need to know to get started with Linux.|
|Essential Linux system tools focuses on small, indispensable utilities, useful for system administrators as well as regular users.|
|Linux utilities to maximise your productivity. Small, indispensable tools, useful for anyone running a Linux machine.|
|Surveys popular streaming services from a Linux perspective: Amazon Music Unlimited, Myuzi, Spotify, Deezer, Tidal.|
|Saving Money with Linux looks at how you can reduce your energy bills running Linux.|
|Home computers became commonplace in the 1980s. Emulate home computers including the Commodore 64, Amiga, Atari ST, ZX81, Amstrad CPC, and ZX Spectrum.|
|Now and Then examines how promising open source software fared over the years. It can be a bumpy ride.|
|Linux at Home looks at a range of home activities where Linux can play its part, making the most of our time at home, keeping active and engaged.|
|Linux Candy reveals the lighter side of Linux. Have some fun and escape from the daily drudgery.|
|Getting Started with Docker helps you master Docker, a set of platform as a service products that delivers software in packages called containers.|
|Best Free Android Apps. We showcase free Android apps that are definitely worth downloading. There's a strict eligibility criteria for inclusion in this series.|
|These best free books accelerate your learning of every programming language. Learn a new language today!|
|These free tutorials offer the perfect tonic to our free programming books series.|
|Linux Around The World showcases usergroups that are relevant to Linux enthusiasts.|
|Stars and Stripes is an occasional series looking at the impact of Linux in the USA.|