Showing 11 open source projects for "linux fast lightweight"

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  • 1
    Orange Data Mining

    Orange Data Mining

    Orange: Interactive data analysis

    Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox. Perform simple data analysis with clever data visualization. Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections. Even your multidimensional data can become sensible in 2D, especially with clever attribute ranking and selections. Interactive data exploration for...
    Downloads: 37 This Week
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  • 2
    Vedo

    Vedo

    A python module for scientific analysis of 3D data

    A lightweight and powerful python module for scientific analysis and visualization of 3d objects. Inspired by the vpython manifesto "3D programming for ordinary mortals", vedo makes it easy to work with 3D pointclouds, meshes and volumes, in just a few lines of code, even for less experienced programmers. vedo is based on VTK and numpy, with no other dependencies. Import meshes from VTK format, STL, Wavefront OBJ, 3DS, Dolfin-XML, Neutral, GMSH, OFF, PCD (PointCloud). Export meshes as ASCII...
    Downloads: 0 This Week
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  • 3
    asammdf

    asammdf

    Fast Python reader and editor for ASAM MDF / MF4 (Measurement Format)

    *asammdf* is a fast Python parser and editor for ASAM (Associtation for Standardisation of Automation and Measuring Systems) MDF / MF4 (Measurement Data Format) files. It supports MDF versions 2 (.dat), 3 (.mdf) and 4 (.mf4). *asammdf* works on Python 2.7, and Python >= 3.4
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    Downloads: 54 This Week
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  • 4
    LabPlot

    LabPlot

    Data Visualization and Analysis

    LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone.
    Downloads: 46 This Week
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  • 5
    This is a Python-based efficient implementation of several semantic similarity measures. The target is to enable fast and easy calculation of similarity between proteins and genes using the Gene Ontology (GO).
    Downloads: 0 This Week
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  • 6

    RDRPOSTagger

    A Rule-based Part-of-Speech and Morphological Tagging Toolkit

    RDRPOSTagger is a robust, easy-to-use and language-independent rule-based toolkit for Part-of-Speech (POS) and morphological tagging. RDRPOSTagger obtains fast performance in both learning and tagging process. RDRPOSTagger also achieves a very competitive accuracy in comparison to the state-of-the-art results. RDRPOSTagger now supports pre-trained POS and morphological tagging models for Bulgarian, Czech, Dutch, English, French, German, Hindi, Italian, Portuguese, Spanish, Swedish, Thai...
    Downloads: 0 This Week
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  • 7
    A lightweight, browsing-based, 100% Python, federated data integration framework. Users may create custom schemas for disparate sources, query and expand results across sources to find related data; for use in fields such as bioinformatics and datamining
    Downloads: 0 This Week
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  • 8
    The Serial Data Acquisition is a lightweight data acquisition system able to parse a vast majority of mostly unidirectional streams. Results are saved in a SQLite DB and accessible over XML-RPC or plain HTTP. Its design is modular and easily extendable.
    Downloads: 1 This Week
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  • 9
    Universal information crawler is a fast precise and reliable Internet crawler. Uicrawler is a program/automated script which browses the World Wide Web in a methodical, automated manner and creates the index of documents that it accesses.
    Downloads: 0 This Week
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  • 10
    File-Spector is a small, fast and easy to use binary file analyzer and Inspector. It allows the users to format a complete binary file structure and then use it to read any binary file that matches the specified format.
    Downloads: 0 This Week
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  • 11
    VFML -- Very Fast Machine Learning toolkit. A collection of tools, learners, and APIs for working with high-speed data streams and very large data sets.
    Downloads: 0 This Week
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