A three panes RSS and ATOM feeds aggregator with Bayesian categorization, n-grams and web-context network views, easy keyboard navigation and not a very busy screen.
- Embeds Microsoft Internet Explorer browser where available,
with Mozilla on the works and where neither of the 2 are present
uses a wxHtmlWindow based browser.
- Internationalization support.
- Rich support for filtering feeds items from date/time ranges
to boolean keywords statements to Bayesian categorization.
- Quick and easy keyboard navigation
- Feed items web context. Where feed item description is available it
will present a tree of feed items that are all
interconnected via links from one to another.
- Feed item n-gram network view - a view of items that share some amount of n-grams (n-characters window)
- Compact view. All feeds are viewed into the embedded browser
where each feed item has two views, a description and a link
view.
- All feeds are downloaded and cached locally for offline browsing.
The user may manualy delete the items whenever he wishes or chose to let the program delete them on a regular basis.
- Fully customizable feed refresh intervals.
- Flags feeds that are no longer available and automaticaly changes feed URL for feeds that are being redirected.
- Allows the user to enter user/password for feeds that require authentication
- Drag and drop subscription. Whenever you see an icon like
or similar or a link you know points to a feed source, just
drag it and then drop it into the tree pane to subscribe.
- Rearrange the subscriptions tree using drag and drop
- OPML Import. OPML Export of the entire subscriptions tree
or just parts of it.
- Backup/restore so data can be taken to another computer or to allow you to switch between different subscription trees
- Blocks browser popup windows - not, well... it blocks javascript.open.
- Find a feed in the subscriptions tree by searching for a keyword.
- When opening links in an outside browser, it uses the computers's default browser.
Everything is loaded in memory at startup
- it consumes a lot of memory depending on number of subscriptions and actualy depending a lot on the number of feeds
to be included in the n-grams cache.
- probably does not scale well to a very big subsriptions tree. I regulary use it with around 150-200 feeds but I don't know about 1000 and more.
- Sometimes may be slower to start up.
- Subscriptions tree may not be altered during feeds refresh - this has more to do with the program data structures but de, that's it, that may change if I feel bored.
filtering items searches the entire tree every time
- Bayesian filter may be slow, deppending on the size of your tree
I may try to fix this at some point if I see a bennefit (let me know)
If you have any questions or issues please feel free to contact me.
