Showing 9 open source projects for "python data analysis"

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    PostHog

    PostHog

    PostHog provides open-source web & product analytics

    PostHog is an all‑in‑one open‑source platform for product and web analytics—offering event-based analytics, session recording, feature flagging, A/B testing, cohorts, and more—that you can self‑host, with full support for data privacy and enterprise compliance. Sync data from external tools like Stripe, Hubspot, your data warehouse, and more. Query it alongside your product data. Run custom filters and transformations on your incoming data. Send it to 25+ tools or any webhook in real time or...
    Downloads: 11 This Week
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  • 2
    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. They collect so much personal data that even the NSA is jealous. They are closed source and/or expensive, often with limited data...
    Downloads: 0 This Week
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  • 3
    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. Everything is displayed on a...
    Downloads: 4 This Week
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  • 4
    Plausible Analytics

    Plausible Analytics

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

    Plausible is lightweight and open-source web analytics. No cookies and fully compliant with GDPR, CCPA and PECR. 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...
    Downloads: 8 This Week
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  • 5
    This project aims to create a Python SQLite based data offline/online analytics program targetted mainly on web analytics. The main development would involve a complete python powered (C/C++ intermediate wrappers if required) sqlite analysis engine.
    Downloads: 0 This Week
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  • 6
    Use Pentaho open source business intelligence tools and MySQL to collect & distribute web analytics (clickstream) data. Extract data from logs, load database tables, & present the information in dashboards, analysis cubes, and reports for business users. This project has been moved to github - https://github.com/cjlavigne/breadboard
    Downloads: 0 This Week
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  • 7
    Php Log Analyzer (aka PLA) is a Log Analysis tool for Apache. There are lots of log analyzer softwares available on the internet but most of them have their own data storage ways. PLA is a tool to analyze log files and store results into MySQL databases.
    Downloads: 0 This Week
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  • 8
    The Webalizer Extractor. Exalizer is a program that extraxts data from the Webalizer data files and sets them to be replaced by simple tags that can be placed in template files. This way, you can make Webalizer data get displayed in the format YOU want!
    Downloads: 0 This Week
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  • 9
    Web site statistic system - The sytem collects any sort of data about a web site, store in a data base and present statistics in html form (popularity of the site, speed or quality of service, state of the server, traffic to other sites, etc. ).
    Downloads: 0 This Week
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