It uses CherryPy to power the web interface.
Articles are stored in a SQLite base.
Here are some key features of "pyAggr3g470r":
· SQLite database;
· E-mail notification;
· Export articles (HTML and raw text);
· Language detection;
· Mark or unmark articles as favorites;
· Share articles with Goog * articles are stored in a SQLite database;le Buzz, delicious, Digg, reddit, Scoopeo and Blogmarks.
· Find an article with history;
· Generation of QR codes with URLs of articles.
Requirements:
· Python 2.4 - 2.7
· feedparser for feedgetter.py
· CherryPy
What's New in This Release: [ read full changelog ]
· Major features enhancement.
· The GUI uses more HTML 5 features like HTML5 Forms Validation (email input, URL
· input), an HTML5 month+year date picker, and a placeholder.
· From each article it is possible to access the following and previous article (and a new main menu with CSS ToolTip).
· Articles can now be exported to the EPUB format.
· Articles loaded from the SQLite base are now stored in memory in a better data structure.
· With more than 10,000 articles, pyAggr3g470r starts in 3 seconds.
· Email notifications are now sent with HTML message content and with an alternative plain text version (MIMEMultipart).