334 projects for "python data analysis" with 2 filters applied:

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  • 1
    ISOcat is the, now discontinued, open source reference implementation of the ISO 12620 standard, which describes the data model and procedures for a Data Category Registry (DCR).
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  • 2
    ** IMPORTANT NOTICE ** 10 Feb 2006 Code is being moved to the SMI subversion repository (http://smi-protege.stanford.edu/svn/owl/trunk/) Project will continue to be open source. ProtegeOWL info at: http://protege.stanford.edu/overview/protege-owl.html
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  • 3
    ICECrawler is a WWW crawler and map-generator intended to help understanding and analyzing links between websites and webdocuments.
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  • 4
    The Open Log Engine is a powerful tool for advanced logging in games or programs. It easily allows you to make logging outputs in your program and analyse them afterwards with the Open Log Viewer, which provides you a powerful filtering system.
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  • 5
    DEAL
    DEAL (Domain Extraction ALgorithm) is an application for domain analysis. Its main purpose is to extract domain information from existing Java applications and to create different kinds of models from the extracted data, including domain-specific languages.
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  • 6
    MicMac is a software for solving image matching problems, specially those arising in geographic context. It is highly customizable at the algorithmic level and for the data input (image format and geo-localization).
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  • 7
    Obs-dm aims to provide a robust and reliable way to collect, analyze, and share observational data. It is being designed for extendability into other areas such as fisheries and habitat science.
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  • 8

    GeoKit

    a framework for simplifying access to a geophysical information

    This framework provides basic components for acquiring, broadcasting, analyzing and storing the continuous geophysical data. Written on Objective-C and using GNUstep Foundation (Base) framework or Apple Foundation framework.
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  • 9
    PHP Interview System is a easy-to-use research system to build complex survey(s), interview(s) and poll(s). The interview can be dynamic (interactive) flow. Collect and react on input. Export data for analysis.
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