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 publishes 1 API on the APIs.io network: Notebook API. Tagged areas include Data Analytics, Interactive Computing, Notebook, Visualization, and Open Source.
Apache Zeppelin’s developer surface includes documentation, developer portal, getting-started guide, release notes, support, and 5 more developer resources.
Kin Score
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 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Apache Zeppelin Notebook REST API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Apache Zeppelin Rate Limits
RATE LIMITSFinOps 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
Security 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 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use