# Apache Zeppelin

**Canonical:** https://apis.io/providers/apache-zeppelin/  
**Website:** https://zeppelin.apache.org/  
**APIs profiled:** 1

Apache Zeppelin is a web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala, Python, R, and more. It provides built-in data visualization, collaboration features, and interpreter integration with Apache Spark, JDBC, Python, R, Shell, and 20+ other backends. Zeppelin exposes a REST API for notebook management, interpreter configuration, and job execution. It is maintained by the Apache Software Foundation.

## Kin Score — 32.6 / 100 (thin)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 32.6).

| Facet | Score |
|---|---|
| Discoverability | 59.3 |
| Contract Quality | 39.2 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 34.2 |
| Developer Ergonomics | 35.7 |
| Commercial Clarity | 26.3 |
| Access Clarity | 26.3 |

## Agent readiness — 20.5 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | derived |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | documented |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Freemium — onboarding: unknown, pricing: freemium, trial: no (confidence: medium).

## APIs (1)

- **Apache Zeppelin Notebook API** — The Notebook API from Apache Zeppelin — 18 operation(s) for notebook.

## Agentic access (1)

- **Apache Zeppelin Agentic Access** — 31 operations · 20 acting · 2 human-in-the-loop

## Security (2)

- **Apache Zeppelin Domain Security** — TLSv1.3 · HSTS · DMARC
- **Apache Zeppelin Vulnerability Disclosure** — security.txt · contact published

## Plans (1)

- **Apache Zeppelin Plans Pricing**

## Use cases (4)

- **Interactive Data Exploration** — Exploratory data analysis with Spark SQL, Python, and R in a collaborative notebook.
- **Data Science Prototyping** — Rapid ML prototyping and model development with live results visualization.
- **SQL Analytics** — Interactive SQL queries against Hive, Spark SQL, or any JDBC database.
- **Automated Reporting** — Scheduled notebook execution for automated data report generation.

## Tags

Data Analytics, Interactive Computing, Notebook, Visualization, Open-Source

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/apache-zeppelin/). Scores are computed from the provider's own public artifacts under a published rubric.