Showing 35 open source projects for "data structures c"

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  • 1
    Porcupine is an open-source Python based web application server that provides front-end and back-end revolutionary technologies for building modern data-centric Web 2.0 applications.
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  • 2
    Software tool that emphasizes useful information, communication, and intent. Accomplish any conceivable computer task by transforming fuzzy abstract data-structures in a fractal vector graphics user interface.
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  • 3
    XSDB XML is to DATA as HTML is to DOCUMENT. Publish and combine data as easily as HTML format and web browsers publish and view documents. Implementations in Python, javascript, java, C#/.NET.
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  • 4
    A drop-in framework for adding tagging (folksonomy) capabilities to existing applications
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  • 5
    PyBookmark manipulates bookmark files. It can sync files (no server required), merge, sort, remove duplicates, and check links. Its library pybookmarklib provides access to these operations, data structures, and parser for further extensibility.
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  • 6
    ServicemarX allows you to easily discover, bookmark, and share network services. It extends Bonjour (formerly known as Rendezvous) by expanding its scope Internet-wide. ServicemarX also enables Tiger's Wide Area capabilities. (full source in CVS below)
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  • 7
    2tools is a set of online CMS maintenance tools: just one click to migrate to/from different CMS; safe configuration settings to upgrade your CMS; easy Data movement to/from DBMS, databases or tables; SQL, XML, XSLT, PHP technologies. All tools are main
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  • 8
    Pycap provides the ability to capture packets from, and inject packets onto, network interfaces. It dissects commonly found structures in network packets such as Ethernet, IP, ARP, TCP, UDP, and ICMP headers.
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  • 9
    A tool to visualize interactively huge amounts of eventdata. Uses an innovative hierarchical zoomlens scaling from quarters down to 50 ms.
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  • 10
    This is my Master Degree project, I am trying to improve the movie prediction by using machine learning techniques, for the Netflix data set. This project is done under guidance of Dr. Richard Maclin, at University of Minnesota Duluth.
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