There are 585 repositories under analytics topic.
ClickHouse® is a real-time analytics DBMS
An open-source & self-hostable Heroku / Netlify / Vercel alternative.
:memo: An awesome Data Science repository to learn and apply for real world problems.
Umami is a simple, fast, privacy-focused alternative to Google Analytics.
Empowering People Ethically with the leading open source alternative to Google Analytics that gives you full control over your data. Matomo lets you easily collect data from websites & apps and visualise this data and extract insights. Privacy is built-in. Liberating Web Analytics. Star us on Github? +1. And we love Pull Requests!
An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
🚀 10x easier, 🚀 140x lower storage cost, 🚀 high performance, 🚀 petabyte scale - Elasticsearch/Splunk/Datadog alternative for 🚀 (logs, metrics, traces, RUM, Error tracking, Session replay).
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
🔥 A well-tested feature-rich modular Firebase implementation for React Native. Supports both iOS & Android platforms for all Firebase services.
An orchestration platform for the development, production, and observation of data assets.
Responsive dashboard templates 📊✨
Modin: Scale your Pandas workflows by changing a single line of code
🔎 Open source distributed and RESTful search engine.
Session replay and product analytics you can self-host. Ideal for reproducing issues, co-browsing with users and optimizing your product.
A declarative JavaScript library for application development using cloud services.
The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.