Awesome GitHub RepositoriesPrivacy-Focused Analytics

Umami is a privacy-focused web analytics platform and open-source visitor tracking tool. It functions as a self-hosted alternative to commercial tracking services, allowing the operation of a private analytics platform on independent infrastructure to maintain ownership and control over visitor data. The platform focuses on monitoring website traffic and analyzing user behavior without using invasive data collection methods. It provides capabilities for mapping user journeys and performing audience segmentation to compare how different visitor cohorts interact with site content.

Umami is a self-hosted, privacy-focused web analytics platform designed to provide full control over infrastructure and user data. It captures website traffic and visitor behavior through anonymous tracking methods that avoid cookies, browser fingerprinting, and the storage of personally identifiable information. The platform distinguishes itself through a comprehensive suite of behavioral analysis tools, including session replays, heatmaps, and cohort-based retention reporting. It features a multi-tenant architecture that allows teams to manage multiple websites within a single, collaborativ

This project is an open-source, privacy-focused web analytics platform designed for high-throughput data ingestion and multi-tenant data management. It provides a cookie-less tracking engine that captures visitor interactions using ephemeral request metadata, ensuring comprehensive traffic visibility while maintaining strict privacy standards. The architecture utilizes an event-driven ingestion pipeline and aggregated metric storage to decouple data collection from processing, enabling efficient long-term retrieval and responsive dashboard performance. What distinguishes this platform is its

Matomo is a self-hosted web analytics platform designed to track user behavior and website performance while maintaining full data ownership. It functions as a comprehensive analytics suite that captures visitor interactions and processes raw tracking logs into structured metrics, providing organizations with a centralized system for monitoring traffic patterns and engagement. The platform distinguishes itself through a strong emphasis on privacy and modularity. It includes built-in tools to anonymize visitor information and manage user consent, ensuring compliance with global data protection

Rybbit is an open-source, self-hosted web analytics platform designed for comprehensive user behavior tracking and product engagement analysis. It provides a complete suite for monitoring visitor interactions, conversion funnels, and site performance, allowing organizations to maintain full ownership of their data and infrastructure. The platform distinguishes itself through a strong emphasis on privacy-compliant data collection and visual session replay capabilities. It supports advanced traffic routing through custom domains to bypass ad blockers and includes configurable masking tools to p

Fathom is a privacy-focused website analytics server written in Go. It monitors website traffic and page views without collecting personal data or using intrusive cookies, providing a self-hosted alternative for traffic monitoring. The system utilizes a Preact-based dashboard interface for visualizing traffic patterns and reports. Data is persisted in a SQL database analytics store, with support for MySQL, PostgreSQL, and SQLite. The project covers the collection of visitor data via lightweight tracking snippets and the management of that data through a pluggable storage layer. It includes m

Countly is a self-hosted product analytics and engagement platform that tracks user behavior across mobile, web, and desktop applications. It collects and analyzes device properties, user actions, and session lifecycle data to understand engagement patterns, while also providing crash reporting, push notification delivery, and A/B testing capabilities. The platform is designed for privacy-first deployment, with built-in consent management and the ability to run entirely on private infrastructure. The platform distinguishes itself through its comprehensive feature set that combines analytics w

Quarto is an open-source scientific and technical publishing system built on Pandoc that converts Markdown and Jupyter notebooks into a wide range of output formats. It functions as a multi-format document converter, a reproducible research platform, a static site generator for technical content, and an interactive dashboard builder, all within a single framework. The system is distinguished by its ability to produce HTML, PDF, Word, ePub, and slide decks from a single Markdown source, while embedding executable code blocks in Python, R, Julia, or Observable for dynamic, reproducible document

Goatcounter is a privacy-focused web analytics platform designed to be self-hosted on your own infrastructure. It collects visitor statistics like page views, browser information, location, screen size, and referring sites without using cookies or storing any personal data, identifying unique visits through a non-identifiable hash derived from browser and network data. The platform distinguishes itself by offering multiple tracking methods that respect user privacy, including a lightweight JavaScript snippet, an image-based tracking pixel for environments without JavaScript, and the ability t

Goatcounter is a self-hosted web analytics platform that collects visitor statistics without cookies, personal data, or persistent identifiers. It uses privacy-preserving techniques like anonymous session hashing to count page views and visits, and can be deployed on your own infrastructure using a binary or Docker container with SQLite or PostgreSQL storage. The platform offers multiple data collection methods, including a lightweight JavaScript snippet, an image-based tracking pixel for environments where scripts are blocked, and server log file parsing from nginx, Apache, Caddy, or CloudFr

Precedent एक Next.js एप्लिकेशन स्टार्टर और कंपोनेंट लाइब्रेरी है जो प्रोडक्शन-रेडी वेब इंटरफ़ेस बनाने के लिए पूर्व-कॉन्फ़िगर किए गए टूल्स और प्रिमिटिव्स का एक आधारभूत सेट प्रदान करती है। यह इंटीग्रेटेड ऑथेंटिकेशन, एनालिटिक्स और ओपिनियनेटेड UI कंपोनेंट्स के संग्रह के साथ एप्लिकेशन को बूटस्ट्रैप करने के लिए एक टूलकिट के रूप में कार्य करती है। यह प्रोजेक्ट अपने Tailwind CSS UI किट के माध्यम से खुद को अलग बनाता है, जो पॉलिश किए गए इंटरफ़ेस बनाने के लिए एक्सेसिबिलिटी प्रिमिटिव्स और मोशन लाइब्रेरीज़ को जोड़ता है। इसमें नेटवर्क एज पर डायनामिक सोशल शेयरिंग इमेज और प्रीव्यू विज़ुअल्स को प्रोग्रामेटिक रूप से बनाने के लिए एक सर्वर-साइड इमेज जनरेटर शामिल है। यह लाइब्रेरी क्षमताओं की एक विस्तृत श्रृंखला को कवर करती है, जिसमें यूजर ऑथेंटिकेशन और सेशन मैनेजमेंट के लिए थर्ड-पार्टी आइडेंटिटी एकीकरण, विज़िटर मेट्रिक्स को ट्रैक करने के लिए प्राइवेसी-फ़ोकस्ड वेबसाइट एनालिटिक्स, और क्लाइंट-साइड स्टेट, लोकल स्टोरेज व एलिमेंट विज़िबिलिटी को मैनेज करने के लिए कस्टम React हुक्स का संग्रह शामिल है। यह टेक्स्ट और नंबरों को फ़ॉर्मेट करने के लिए यूटिलिटीज़ भी प्रदान करती है।

Ackee is a self-hosted web analytics platform designed for tracking website traffic and visitor behavior. It functions as a privacy-first visitor tracker that allows for the collection of engagement metrics without relying on third-party cloud providers. The platform ensures data ownership through a self-hosted deployment model. It includes an analytics data API that provides a queryable interface for fetching detailed visitor data to create custom reports and external visualizations. The system covers web traffic analysis and privacy-focused user tracking. It supports the generation of tail

यह प्रोजेक्ट एनालिटिक्स फ्रेमवर्क और सॉफ्टवेयर की एक क्यूरेटेड डायरेक्टरी है जिसे उपयोगकर्ताओं को उपयोगकर्ता व्यवहार, SEO प्रदर्शन, और मोबाइल एप्लिकेशन मेट्रिक्स को मापने के लिए टूल खोजने में मदद करने के लिए डिज़ाइन किया गया है। यह विशिष्ट उपयोग के मामलों और ट्रैकिंग आवश्यकताओं द्वारा व्यवस्थित एक व्यापक संसाधन सूची के रूप में कार्य करता है। डायरेक्टरी में गोपनीयता-संरक्षण एनालिटिक्स सॉफ्टवेयर पर केंद्रित एक वर्गीकृत इंडेक्स शामिल है जो डेटा सुरक्षा को प्राथमिकता देता है। यह उपयोगकर्ता यात्राओं को ट्रैक करने के लिए उत्पाद एनालिटिक्स, ऑर्गेनिक खोज दृश्यता के लिए SEO प्रदर्शन निगरानी, और सामान्य वेब और मोबाइल ट्रैकिंग सहित डोमेन की एक विस्तृत श्रृंखला को कवर करता है। संग्रह को मार्कडाउन फ़ाइलों के एक सेट के रूप में बनाए रखा जाता है और वर्ज़न कंट्रोल सिस्टम के माध्यम से प्रबंधित किया जाता है।

This project is a pre-configured static site template and web performance starter for building blogs using the Eleventy static site generator. It provides a foundation for creating high-performance websites through an automated build pipeline that transforms templates and content into optimized HTML files. The framework distinguishes itself by implementing a strict security posture using hash-based content security policies and a privacy-centric analytics setup that proxies tracking requests through edge functions. It further emphasizes performance through the localization of remote images an

vibe-vibe is an LLM agent engineering framework and toolchain optimizer designed for orchestrating multi-agent systems. It serves as a comprehensive guide and methodology for transforming conceptual ideas into deployed applications through agentic software engineering. The project focuses on the orchestration of specialized AI agent roles with defined collaboration boundaries and iterative feedback loops. It provides frameworks for toolchain optimization, including the selection and evaluation of protocols that extend model capabilities and the design of standardized tool interfaces. The sys