How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
Edalitcs
The main features of jortilles/eda are: Analytics, Analytics Tools, General Analytics.
Open-source alternatives to jortilles/eda include: eldy/awstats — AWStats Log Analyzer project (official sources). 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… apache/druid — Apache Druid is a real-time analytics database and distributed columnar time-series store designed for sub-second…
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
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