Docker Compose setup to self-host Swetrix CE - a privacy-focused, cookieless web analytics platform
swetrix/selfhosting की मुख्य विशेषताएं हैं: Analytics, Analytics Tools।
swetrix/selfhosting के ओपन-सोर्स विकल्पों में शामिल हैं: apache/druid — Apache Druid is a real-time analytics database and distributed columnar time-series store designed for sub-second… allinurl/goaccess — This project is a terminal-based log analyzer and real-time traffic monitoring system designed for web server… aptabase/aptabase. arp242/goatcounter — Goatcounter is a self-hosted web analytics platform that collects visitor statistics without cookies, personal data,… apache/superset — Superset is a web-based business intelligence platform designed for data exploration, visualization, and interactive… eldy/awstats — AWStats Log Analyzer project (official sources).
Apache Druid is a real-time analytics database and distributed columnar time-series store designed for sub-second analytical queries. It functions as a data platform featuring a distributed SQL query engine and a real-time data ingestion system for moving historical and streaming data from external sources. The system is distinguished by its ability to provide low-latency analytics under high concurrency to power operational dashboards. It implements a Kerberos-secured environment for user authentication and employs a shared-nothing cluster architecture to enable horizontal scaling. The plat
Superset is a web-based business intelligence platform designed for data exploration, visualization, and interactive dashboarding. It functions as a query-driven analytics engine that connects to various SQL databases, allowing users to perform ad-hoc analysis, define virtual metrics, and build complex data visualizations through a centralized interface. The platform distinguishes itself through a robust semantic layer that transforms raw database schemas into calculated columns and virtual metrics, enabling consistent business logic across an organization. It features a plugin-based visualiz
This project is a terminal-based log analyzer and real-time traffic monitoring system designed for web server environments. It processes raw server access logs to generate structured statistical insights, providing visibility into visitor behavior, bandwidth usage, and request latency. The tool functions as a high-performance utility capable of handling large-scale datasets through multi-threaded parsing and memory-efficient data structures. The software distinguishes itself by offering both an interactive terminal interface and a web-based dashboard that updates in real-time via WebSocket st
