Search Results for "python and django"
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Showing 5 open source projects for "python and django"
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Modoboa
Mail hosting made simple
...A SQL database (MySQL, PostgreSQL or SQLite) is used as a central point of communication between all components. Modoboa is developed with modularity in mind, expanding it is really easy. Actually, all current features are extensions. It is written in Python 3 and uses the Django, jQuery and Bootstrap frameworks. Follow the evolution of your server traffic thanks to a few builtin graphics: messages distribution per type and average size. Easily use standard protocols like DKIM or DMARC to improve your sender reputation and so make sure your emails will be delivered. Consult your emails everywhere thanks to simple but functional builtin webmail. -
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Sukiyaki
A BBS imageboard, like futaba, written in Python with Django
Sukiyaki is a BBS imageboard written in Python with a focus on better visual presentation, simpler URLs, relevant features, and better security. One of the first differences users will notice in Sukiyaki, compared to other imageboard software, is that replies are indented below the post they reply to. Sukiyaki is released under the MIT license. -
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Addons to the Django Framework for mobile clients. MoGo was originally built to handle JP specific issues, but code to handle other locales are welcome as well. Developed and maintained by MARIMORE Inc http://www.marimore.co.jp THIS PROJECT HAS MOVED TO https://github.com/marimore/mobiledjango
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RSS aggregator written in python, using django. Feeds and feed items can be annotated with tags and other information from services such as twitter & delicious. Allow communities such as teachers to get focused, useful information from the interweb.
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DAT Freight and Analytics - DATDAT Freight & Analytics operates DAT One, North America’s largest truckload freight marketplace; DAT iQ, the industry’s leading freight data analytics service; and Trucker Tools, the leader in load visibility. Shippers, transportation brokers, carriers, news organizations, and industry analysts rely on DAT for market trends and data insights, informed by nearly 700,000 daily load posts and a database exceeding $1 trillion in freight market transactions. Founded in 1978, DAT is a business unit of Roper Technologies (Nasdaq: ROP), a constituent of the Nasdaq 100, S&P 500, and Fortune 1000. Headquartered in Beaverton, Ore., DAT continues to set the standard for innovation in the trucking and logistics industry.
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This will be a new bulletin board system which is written in python and is using the django framework.
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