Showing 9 open source projects for "networkx"

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  • 1
    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...
    Downloads: 2 This Week
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  • 2
    UStore

    UStore

    Multi-Modal Database replacing MongoDB, Neo4J, and Elastic

    Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang.
    Downloads: 0 This Week
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  • 3
    Karate Club

    Karate Club

    An API Oriented Open-source Python Framework for Unsupervised Learning

    Karate Club is an unsupervised machine learning extension library for NetworkX. Karate Club consists of state-of-the-art methods to do unsupervised learning on graph-structured data. To put it simply it is a Swiss Army knife for small-scale graph mining research. First, it provides network embedding techniques at the node and graph level. Second, it includes a variety of overlapping and non-overlapping community detection methods. Implemented methods cover a wide range of network science...
    Downloads: 0 This Week
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  • 4
    Graphs.jl

    Graphs.jl

    An optimized graphs package for the Julia programming language

    The goal of Graphs.jl is to offer a performant platform for network and graph analysis in Julia, following the example of libraries such as NetworkX in Python. Offers a set of simple, concrete graph implementations – SimpleGraph (for undirected graphs) and SimpleDiGraph (for directed graphs), an API for the development of more sophisticated graph implementations under the AbstractGraph type, and a large collection of graph algorithms with the same requirements as this API.
    Downloads: 0 This Week
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  • 5
    Kedro

    Kedro

    A Python framework for creating reproducible, maintainable code

    Kedro is an open sourced Python framework for creating maintainable and modular data science code. Provides the scaffolding to build more complex data and machine-learning pipelines. In addition, there's a focus on spending less time on the tedious "plumbing" required to maintain data science code; this means that you have more time to solve new problems. Standardises team workflows; the modular structure of Kedro facilitates a higher level of collaboration when teams solve problems...
    Downloads: 0 This Week
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  • 6
    ipycytoscape

    ipycytoscape

    A Cytoscape Jupyter widget

    A widget enabling interactive graph visualization with cytoscape.js in JupyterLab and the Jupyter Notebook.
    Downloads: 0 This Week
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  • 7
    LightGraphs

    LightGraphs

    An optimized graphs package for the Julia programming language

    LightGraphs offers both (a) a set of simple, concrete graph implementations -- Graph (for undirected graphs) and DiGraph (for directed graphs), and (b) an API for the development of more sophisticated graph implementations under the AbstractGraph type. The project goal is to mirror the functionality of robust network and graph analysis libraries such as NetworkX while being simpler to use and more efficient than existing Julian graph libraries such as Graphs.jl. It is an explicit design...
    Downloads: 0 This Week
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  • 8
    PyBoolNet is a Python package for the generation, modification and analysis of Boolean networks. Homepage has migrated to https://github.com/hklarner/PyBoolNet This page is only maintained to keep links alive.
    Downloads: 0 This Week
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  • 9

    Kast Framework

    Python framework for kinematic analysis based on screw theory

    Kast is a framework for kinematic analysis of kinematic chains based on screw theory, graph theory and related tools. Is it implemented in Python, using numpy, networkx and elementtree, among other packages. The framework was designed to support my research thesis in underwater robotics. The project also contains a framework to implement underwater intervention simulations.
    Downloads: 0 This Week
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