Showing 10 open source projects for "codeigniter social network"

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  • 1
    Authlib

    Authlib

    The ultimate Python library in building OAuth, OpenID Connect

    ...Various built-in high-level framework integrations for both clients and servers, aiming to create a seamless experience. Authlib offers generic implementations of RFCs. Supporting a wide range of social network service connections, powered by Loginpass. Authlib is built from low level of specifications to high level of framework integrations. Security matters in Authlib. We have a section on security process at the very first begin. Authlib is created with sustainable maintainence in mind. Consider to buy a commercial plan.
    Downloads: 1 This Week
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  • 2

    cfe

    Framework for producing web-based database applications

    Sophisticated environment for developing web-based applications. It includes lots of handy low-level components including: 1/ mySql interface, including table creation, tables as class, query as iterator 2/ html generation 3/ multi-lingual ability 4/ html form field handling 5/ etc. On top of this is a high-level framework that allows rapid development of database apps including seach/create/display/update, user navigation between related entities and much more. Included, as a...
    Downloads: 0 This Week
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  • 3
    workshops_project

    workshops_project

    Workshops is an open source, simple, dead-lightweight LMS

    Workshops is an open source, simple, dead-lightweight LMS (Learning Management System) application programmed in Python (version 3.8.x) with Django (version 2.2.x) web framework which main purpose is to make a standarized way to share knowledge via courses in a slide-based view in browser powered by remark javascript library, easy to create, edit, delete and show your courses using simple markdown and html if necessary. Inspired on an old project in my social labours to help share knowledge...
    Downloads: 0 This Week
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  • 4
    FlightFeather's goal is "social networking for everyone". This means that anyone should have a chance to run a popular social networking site -- on minimal hardware, and without wasting bandwidth.
    Downloads: 0 This Week
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  • 5
    Motinha

    Motinha

    Information Gathering and Network Exploitation Framework

    Motinha is a Simple Information Gathering and Network Exploitation Framework coded in Python. Here we have a bridge between the final user and the most futurists’ tools on the Internet to find juice info around any network, website, domain, company or persons and in some cases exploit some features to have fun , now let’s Shut Up And Hack!
    Downloads: 0 This Week
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  • 6
    Konfidi is a trust framework that uses topical trust values from a social network of authenticated people. When you receive an email from someone you do not know, but he/she is in the network, Konfidi will compute an inferred trust value for you.
    Downloads: 0 This Week
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  • 7
    The Pointrel System is an RDF-like triple store implemented on the Java/JVM platform, supporting related social semantic desktop applications to create, use, exchange, and organize informational resources for a reasonably joyful and secure world.
    Downloads: 0 This Week
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  • 8
    The Virtual Commons (http://commons.asu.edu) is an open software initiative devoted to computational experiments on collective action and resource governance and funded by Arizona State University's Center for Behavior, Institutions, and the Environment (http://cbie.asu.edu). NOTE: we've moved our development to GitHub at https://github.com/virtualcommons - please look for the latest versions there.
    Downloads: 0 This Week
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  • 9
    NeuroKiwi is the application of the Associative Model (AM, previously dubbed AMDroid), being a model storing relational change-detections. The application tries to emulate ground-up knowledge accumulation with limited or no prior knowledge of shapes or patterns.
    Downloads: 0 This Week
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  • 10
    eBarter froms trades from commitments. It measures economic values without the need of a common value standard; distributes fairly the gain produced between participants and gives the preference to trades where participants have the weakest requirements.
    Downloads: 0 This Week
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