Open Source Go Web Analytics Software

Go Web Analytics Software

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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

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  • 1
    GoatCounter

    GoatCounter

    Easy web analytics. No tracking of personal data

    GoatCounter is an open-source web analytics platform available as a hosted service (free for non-commercial use) or self-hosted app. It aims to offer easy-to-use and meaningful privacy-friendly web analytics as an alternative to Google Analytics or Matomo. Privacy-aware; doesn’t track users with unique identifiers and doesn't need a GDPR notice. Fine-grained control over which data is collected. Also see the privacy policy and GDPR consent notices. Lightweight and fast; adds just ~3.5KB of extra data to your site. Also has JavaScript-free "tracking pixel" option, or you can use it from your application's middleware or import from logfiles. Keeps useful statistics such as browser information, location, and screen size. Keep track of referring sites and campaigns. Easy; if you've been confused by the myriad of options and flexibility of Google Analytics and Matomo that you don't need then GoatCounter will be a breath of fresh air.
    Downloads: 2 This Week
    Last Update:
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  • 2
    Heartbleed

    Heartbleed

    A checker (site and tool) for CVE-2014-0160

    Heartbleed contains a compact, purpose-built implementation for detecting the infamous Heartbleed vulnerability in OpenSSL’s TLS heartbeat extension (CVE-2014-0160). It focuses on demonstrating and testing the flaw rather than being a general-purpose security toolkit, which makes the code approachable for learning and auditing. The project illustrates how a malformed heartbeat request could coax vulnerable servers into leaking memory contents, including potentially sensitive data. Because it’s small and self-contained, it’s often used as a reference to understand the vulnerability mechanics without wading through large codebases. The repo also serves as a historical snapshot of a watershed moment in modern Internet security and the practical lessons it forced the industry to learn. Developers and security engineers alike can study it to better appreciate protocol hardening, input validation, and defense-in-depth strategies.
    Downloads: 0 This Week
    Last Update:
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