Showing 6 open source projects for "privacy"

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    Plausible Analytics

    Plausible Analytics

    Simple, open-source, lightweight and privacy-friendly web analytics

    ...Made and hosted in the EU, powered by European-owned cloud infrastructure. Frustrated with Google Analytics? So are we and that's why we built Plausible Analytics, a simple, lightweight (< 1 KB), open source, and privacy-friendly alternative that doesn't come from the adtech world. Web analytics went from a simple, fun and useful practice for site owners to a data-grabbing machine for surveillance capitalism. Google Analytics is frustrating to use, difficult to understand, slow to load and privacy-invasive too. Plausible Analytics is built for privacy-conscious site owners. ...
    Downloads: 0 This Week
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  • 2
    Umami

    Umami

    A simple, fast, website analytics alternative to Google Analytics

    Umami is a simple, easy to use, self-hosted web analytics solution. The goal is to provide you with a friendlier, privacy-focused alternative to Google Analytics and a free, open-sourced alternative to paid solutions. Umami collects only the metrics you care about and everything fits on a single page. You can view a live demo here. Umami measures just the important metrics that you care about: pageviews, devices used, and where your visitors are coming from.
    Downloads: 2 This Week
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  • 3
    Shynet

    Shynet

    Modern, privacy-friendly, and detailed web analytics

    Modern, privacy-friendly, and detailed web analytics that works without cookies or JS. There are a lot of web analytics tools. Unfortunately, most of them come with the following caveats. They require handing all of your visitors' info to a third-party company They use cookies to track visitors across sessions, so you need to have those annoying cookie notices.
    Downloads: 0 This Week
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  • 4
    Functional Mechanism

    Functional Mechanism

    Regression Analysis under Differential Privacy

    Functional Mechanism is a differentially private method designed for a large class of optimization-based analyses. The main idea is to enforce epsilon-differential privacy by perturbing the objective function of the optimization problem, rather than its results. Please cite the following paper if you choose to use this code: J. Zhang, Z. Zhang, X. Xiao, Y. Yang, and M. Winslett. Functional Mechanism: Regression Analysis under Differential Privacy. PVLDB 5(11):1364-1375, 2012.
    Downloads: 1 This Week
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  • 5
    PrivLocal/PrivGene

    PrivLocal/PrivGene

    Differentially Private Model Fitting Using Genetic Algorithms

    Downloads: 0 This Week
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  • 6
    The Citizen Privacy Service is an asynchronous component using artificial intelligence capabilities including DL decidability and first order logic provenance that provide policy decision and policy enforcement points based on the US Privacy Act of 1974.
    Downloads: 0 This Week
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