Showing 6 open source projects for "python 3.5 library"

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  • 1

    TA-Lib.git: Technical Analysis Library

    Mirror of the TA-Lib project using a Git repository

    This project is intended to provide Git access to the code of the original project, TA-Lib, which uses Subversion. It is intended for system integrators wishing to use TA-Lib in their Git-managed project through Git submodules or subtrees. No actual development is being done here; all development happens in the original project.
    Downloads: 0 This Week
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  • 2
    SMSD

    SMSD

    Substructure, MCS and FP search for chemical graphs C++, Java, Python

    SMSD Pro is now developed on GitHub: https://github.com/asad/SMSD. Install with pip install smsd, or from Maven Central as com.bioinceptionlabs:smsd.
    Downloads: 0 This Week
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  • 3

    ktree

    clustering, machine learning, algorithms

    This project has moved to github at http://lmwtree.devries.ninja.
    Downloads: 0 This Week
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  • 4
    Technical analysis library with indicators like ADX, MACD, RSI, Stochastic and TRIX, plus candlestick pattern recognition. Docs: https://ta-lib.org Available natively in C/C++, Java, Rust and C# with wrappers for python, R and many other ecosystems. MOVED TO GITHUB: https://github.com/TA-Lib/ta-lib . No further support is provided on SourceForge.
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    4.5 out of 5 stars 6 Reviews
    Downloads: 5,929 This Week
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  • 5
    The project contains algorithms for locating the most central groups in complex networks. In particular implementations of various centrality measures and heuristic search algorithms. All functionality is exposed via XML-RPC for easier exploitation.
    Downloads: 0 This Week
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  • 6
    cosmos

    cosmos

    Algorithms that run our universe | Your personal library of every algo

    Cosmos (by OpenGenus Foundation) is your personal offline collection of every algorithm and data structure one will ever encounter and use in a lifetime. This provides solutions in various languages spanning C, C++, Java, JavaScript, Swift, Python, Go and others. This work is maintained by a community of hundreds of people and is a massive collaborative effort to bring the readily available coding knowledge offline.
    Downloads: 0 This Week
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