apache/zeppelin

Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.

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Summary Information

Updated 46 seconds ago
Added to GitGenius on September 9th, 2026
Created on March 25th, 2015
Open Issues & Pull Requests: 60 (+0)
GitHub issues: Disabled - open counts may still include pull requests.
Number of forks: 2,839
Total Stargazers: 6,657 (+0)
Total Subscribers: 299 (+0)

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Detailed Description

Apache Zeppelin is a web-based notebook for interactive data analytics that enables collaborative, data-driven documents with support for SQL, Scala, and multiple other languages.

Zeppelin addresses the need for exploratory data analysis and collaborative analytics by providing a notebook interface where users can write code, execute it against data processing engines, and visualize results in a single document. The tool uses a pluggable interpreter architecture that isolates execution environments, allowing it to support over twenty different languages and backends including Spark, Flink, Python, and SQL. Real-time collaboration features let multiple users work on the same notebook simultaneously, while built-in visualization capabilities and dynamic forms enable interactive exploration without requiring separate tools.

Teams should adopt Zeppelin when they need a unified environment for data exploration, reporting, and knowledge sharing across data engineers and analysts. It suits organizations already invested in Spark or Flink ecosystems, as well as those requiring flexible deployment options ranging from local development to Kubernetes and YARN clusters. The tool is particularly valuable for teams that want to combine ad-hoc analysis, scheduled reporting, and collaborative documentation in a single platform.

The project maintains active continuous integration across core functionality, frontend, and compliance checks. Development activity spans multiple language ecosystems, with the codebase written primarily in Java while supporting numerous interpreter implementations. The project operates through established Apache governance structures including public issue tracking, mailing lists for community discussion, and documented contribution guidelines.