# apache/zeppelin

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

Repository: https://github.com/apache/zeppelin
Canonical: https://ross.abutalabs.com/products/zeppelin
Homepage: https://zeppelin.apache.org/
Language: Java
License: Apache-2.0
License Family: permissive
Topics: scala, java, big-data, zeppelin, javascript, spark, flink, database, nosql
Last push: 2026-08-26T14:06:39+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 4179, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6655, forks 2837 (observed 2026-08-28T04:09:47.396952+00:00)

## What it is
Apache Zeppelin is a web-based notebook for interactive, data-driven analytics and collaborative documents. It supports SQL, Scala, Python, R, Spark, Flink, and 20+ pluggable interpreters with built-in visualization and dynamic forms.

## Use cases
- run interactive SQL queries against JDBC databases like Postgres, MySQL, Hive, or Redshift
- explore and visualize Spark and PySpark data in a browser notebook
- build collaborative data-driven documents with charts and dynamic forms
- prototype Flink streaming or batch jobs interactively
- schedule notebooks with cron for recurring analytics reports
- analyze data with Python, pandas, and matplotlib in a shared web UI

## When to choose
- you need a multi-language notebook (SQL, Scala, Python, R) with built-in visualizations
- your team works heavily with Spark, Flink, or JDBC data sources
- you want collaborative, shareable analytics documents with scheduling
- you need a pluggable interpreter architecture for custom backends

## When to avoid
- you only need Python notebooks with a rich ecosystem - Jupyter is a better fit
- you want lightweight, single-user local analysis without running a server
- you need modern ML/AI notebook tooling with GPU support

## Facets
- artifact type: application
- maturity: stable
- function: data-visualization, analytics, etl, web-framework, self-hosted
- domain: data-science, big-data, data-visualization, analytics
- platform: self-hosted, jvm, cross-platform
- tags: notebook, apache-spark, apache-flink, interactive-analytics, interpreters, sql, collaboration, big-data, data-engineering, web-server, docker, kubernetes

## Member repositories
- apache/zeppelin (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:47.396952+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:43:03.367184+00:00, confidence not recorded.
  - readme: https://github.com/apache/zeppelin (fetched 2026-08-28T04:09:47.396952+00:00, sha e1df971bbaaa)
  - homepage: https://zeppelin.apache.org/ (fetched 2026-08-29T08:39:23.677230+00:00, sha 8f55fa50a879)
  - site_page: https://zeppelin.apache.org/docs/latest/quickstart/install.html (fetched 2026-08-29T08:39:23.680910+00:00, sha c33ab0b2e1c3)
  - site_page: https://zeppelin.apache.org/docs/0.12.1 (fetched 2026-08-29T08:39:23.682747+00:00, sha 1bccf6eba8e1)
  - site_page: https://zeppelin.apache.org/docs/0.12.0 (fetched 2026-08-29T08:39:23.684634+00:00, sha 05043b898b37)
  - site_page: https://zeppelin.apache.org/docs/0.11.2 (fetched 2026-08-29T08:39:23.686903+00:00, sha 08d0fbae4109)
  - site_page: https://zeppelin.apache.org/docs/0.11.1 (fetched 2026-08-29T08:39:23.688797+00:00, sha e2d50b4cd653)
  - site_page: https://zeppelin.apache.org/docs/0.11.0 (fetched 2026-08-29T08:39:23.690474+00:00, sha c63d093c09ce)
  - site_page: https://zeppelin.apache.org/docs/0.10.1 (fetched 2026-08-29T08:39:23.692066+00:00, sha 06f14a439bec)
  - site_page: https://zeppelin.apache.org/docs/0.10.0 (fetched 2026-08-29T08:39:23.693614+00:00, sha dfb033ee9516)
- Data as of 2026-08-30T08:39:29.467469+00:00.