Showing 4 open source projects for "graph algorithms"

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    NetworkX

    NetworkX

    Network analysis in Python

    NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Data structures for graphs, digraphs, and multigraphs. Many standard graph algorithms. Network structure and analysis measures. Generators for classic graphs, random graphs, and synthetic networks. Nodes can be "anything" (e.g., text, images, XML records). Edges can hold arbitrary data (e.g., weights, time-series). Open source 3-clause BSD license. Well tested with over 90% code coverage. Additional benefits from Python include fast prototyping, easy to teach, and multi-platform. ...
    Downloads: 6 This Week
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  • 2
    Prolog+CG is a Java implementation of Prolog with extensions implementing a subset of the Conceptual Graph (CG) theory of John Sowa. CGs are first-class datatypes on a par with terms. Object oriented extensions are also included.
    Downloads: 0 This Week
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  • 3
    Blubber system is an Eclipse RCP application for distributed systems modeling. Designed for university researches and inlcudes: task graph editor; graph transformation tools; graph modelling on distributed system; real-time modelling on GerdaFramework.
    Downloads: 0 This Week
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  • 4
    Graph (Set of Vertices and Edges) Editor and Analyser. Can test new "algorithms" on graphs using this software. Done as a 6th Sem CSE, BE Project.
    Downloads: 0 This Week
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