Showing 19 open source projects for "static code analysis"

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    Gait Tracking With x-IMU

    Gait Tracking With x-IMU

    Foot tracking algorithm demonstrated in Seb Madgwick's 3D Tracking

    ...The algorithm was part of gait analysis research, estimating foot trajectories in 3D over time. The repo is marked “no longer maintained,” and has been superseded by newer versions of Gait-Tracking. Capability to compare walking trajectories in experiments. Integration of IMU data (accelerometer + gyroscope).
    Downloads: 0 This Week
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  • 2

    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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  • 3

    lpsolve

    Mixed Integer Linear Programming (MILP) solver.

    Mixed Integer Linear Programming (MILP) solver lp_solve solves pure linear, (mixed) integer/binary, semi-cont and special ordered sets (SOS) models.lp_solve is written in ANSI C and can be compiled on many different platforms like Linux and WINDOWS This project is moved to github: https://lp-solve.github.io/
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    Downloads: 2,092 This Week
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  • 4
    Kalman and Bayesian Filters in Python

    Kalman and Bayesian Filters in Python

    Kalman Filter book using Jupyter Notebook

    ...This book is interactive. While you can read it online as static content, it's better to use it as intended. It is written using Jupyter Notebook, which allows you to combine text, math, Python, and Python output in one place.
    Downloads: 1 This Week
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  • 5
    pyhanlp

    pyhanlp

    Chinese participle

    pyhanlp is a Python interface for HanLP (Han Language Processing) that lets you use a mature Java-based NLP toolkit from Python workflows without rebuilding the underlying algorithms. It is commonly used for Chinese-language NLP tasks where you want production-grade tokenization and linguistic analysis, but still want the convenience of Python scripting. The project focuses on making HanLP’s capabilities accessible through a Python-friendly API surface, so you can integrate NLP steps into data pipelines, notebooks, and downstream ML or information-extraction code. In practice, it serves as a bridge layer: Python calls are translated into the corresponding HanLP operations, so you can keep your application logic in Python while relying on HanLP’s implementations. ...
    Downloads: 0 This Week
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  • 6
    This site hosts the source code for C++ version of the Broker for SBW, NOM module, advanced simulation suite, analysis applications and model editors.
    Downloads: 3 This Week
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  • 7
    **NOTE**: The WALA project is now hosted at https://github.com/wala/WALA; the latest source code and updates are available there. The code here on Sourceforge is highly out of date and unsupported. The T. J. Watson Libraries for Analysis (WALA) provide program analysis capabilities for Java bytecode and related languages. The WALA libraries constitute an open-source release of parts of IBM Research's DOMO analysis infrastructure.
    Downloads: 0 This Week
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  • 8

    JCycles

    [frozen] A library for computing cycles in graphs or in Java code.

    [This project is frozen, but has an offspring with more features: https://github.com/jeffhain/jadecy ] JCycles provides treatments to compute cycles, or just strongly connected components, in directed graphs in general, or in classes or packages dependencies graphs parsed from class files (major version <= 51, else does best effort). It uses Tarjan's algorithm for SCCs, and Johnson's for cycles, with continuations instead of recursion, which allows to handle large graphs (<...
    Downloads: 0 This Week
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  • 9
    Open Metaheuristic (oMetah) is a library aimed at the conception and the rigourous testing of metaheuristics (i.e. genetic algorithms, simulated annealing, ...). The code design is separated in components : algorithms, problems and a test report generator
    Downloads: 0 This Week
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  • 10
    PSF is a path-sensitive, inter-procedural program analysis framework developed on top of Soot.
    Downloads: 0 This Week
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  • 11
    Headrand is a static library wrote in c that contains functions to simulate complex systems or make statistical analysis with a new approach called "random function computing"
    Downloads: 0 This Week
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  • 12
    An interactive binary search tree. The user may interact with the tree by performing rotations, balancing, insertions, and deletions. For educational purposes
    Downloads: 0 This Week
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  • 13
    LDIFF is an enhanced language-independent line differencing tool built upon the Unix diff and overcomes its limitations in determining whether an artifact line has been changed or is the result of additions and removals
    Downloads: 0 This Week
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  • 14
    LSGTL means LLX’s Static Graph Template Library which is a light-weighted header-only template library developed mainly for static graph analysis. LSGTL is expected to be used in laboratories for research purposes mostly.
    Downloads: 0 This Week
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  • 15
    Taste
    Now part of Apache's Mahout machine learning project at http://mahout.apache.org/-- please see there for latest info and code and releases and support!
    Downloads: 0 This Week
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  • 16
    Java Framework for automatic transformation of graph structured Process Models (incl. BPMN import) to block structured BPEL code. A graphical tool is provided for visualisation and testing.
    Downloads: 0 This Week
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  • 17
    K-automaton is a new parsing (syntactic analysis) machine isomorphous to language. Implemented in Java. Can generate Java code from grammars described in EBNF.
    Downloads: 0 This Week
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  • 18
    The Catalsyt Framework is a refinement on the MVC framework. It provides greater focus on user business workflow rather than application workflow. It's goal is to enable business analysis and developers to work closer.
    Downloads: 0 This Week
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  • 19
    MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning. The code is well documented and easy to extend, especially for adding new weak learners.
    Downloads: 7 This Week
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