Apache Zeppelin
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.
Apache Zeppelin is listed with 1 API on the APIs.io network: Notebook API. Tagged areas include Data Analytics, Interactive Computing, Notebooks, Visualization, and Open Source.
The Apache Zeppelin catalog on APIs.io includes 1 Spectral governance ruleset.
Apache Zeppelin’s developer surface includes documentation, developer portal, getting-started guide, release notes, support, and 13 more developer resources.
What this lets a business do 1
Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →
Kin Score
Standards implemented 1
Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
Apache Zeppelin Notebook API
The Notebook API from Apache Zeppelin — 18 operation(s) for notebook.
Open Collections 2
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Apache Zeppelin REST Notebook API
OPEN COLLECTIONApache Zeppelin Notebook REST API
OPEN COLLECTIONApache Zeppelin API pricing
Not yet checked against Apache Zeppelin's own pricing page. Compiled by API Evangelist on 2026-05-04; confirm before you rely on a figure. A free plan or tier is listed.
| Plan | Price |
|---|---|
| Free freemium | Free |
| Professional paid | Free |
| Enterprise enterprise | — |
Plan details, limits and sources →
Rate limits
- Free Tier Default: 10 requests per minute
- Free Tier Monthly Quota: 1000 requests per month
- Professional Tier Default: 100 requests per minute
Compiled by API Evangelist, not yet checked against Apache Zeppelin's documentation. All 5 limits →
Pricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Apache Zeppelin Rate Limits
RATE LIMITSService Levels 1
Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.
FinOps 1
Cost, billing, and metering signals for API financial operations.
Apache Zeppelin Finops
FINOPSFeatures 7
Notable capabilities this provider offers.
Multi-Language Support
Execute code in Scala, Python, R, SQL, Shell, and 20+ languages in the same notebook.
Built-In Visualization
Bar, line, pie, scatter, and map charts from query results without additional tools.
Collaborative Notebooks
Real-time collaborative editing of notebooks with user management and permissions.
Spark Integration
Native Apache Spark interpreter for Scala, Python (PySpark), and SQL queries.
JDBC Interpreter
Universal JDBC interpreter for any SQL database including MySQL, PostgreSQL, Hive.
Paragraph Scheduling
Schedule notebook paragraphs with cron expressions for automated execution.
Dynamic Forms
Interactive input forms within notebook paragraphs for parameterized execution.
Scroll for all 7
Spectral Rules 1
Spectral governance rulesets for linting and validating these APIs.
Apache Zeppelin API Rules
SPECTRALSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 4
What developers build with this provider.
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.
Integrations 5
Pre-built integrations with other platforms and tools.
Apache Spark
Native Spark interpreter for Scala, PySpark, and SparkSQL workloads.
Apache Hive
Hive JDBC and HiveQL interpreter for Hive data warehouse queries.
Apache Flink
Apache Flink interpreter for stream processing in Zeppelin notebooks.
Kubernetes
Zeppelin on Kubernetes with per-notebook pod isolation for interpreter processes.
Elasticsearch
Elasticsearch interpreter for indexing and querying Elasticsearch data.
Resources
Get Started 2
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
Other 1
Properties that don't map to a standard resource type
Source (apis.yml)
Apache Zeppelin API — frequently asked questions
Does Apache Zeppelin have an API?
Yes. APIs.io lists 1 API from Apache Zeppelin, including Apache Zeppelin Notebook API.
Is there an OpenAPI specification for the Apache Zeppelin API?
Yes. APIs.io indexes 1 OpenAPI specification for Apache Zeppelin, each linked for download from this page.
How much does the Apache Zeppelin API cost?
APIs.io lists 3 pricing plans for Apache Zeppelin, with each plan's price, limits and inclusions under Pricing on this page.
Is the Apache Zeppelin API ready for AI agents?
Apache Zeppelin has a Kin Score of 33.7 out of 100 (thin) and an Agent Readiness score of 17.2 (agent-aware), scored by API Evangelist on 2026-11-06.
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.