Apache Zeppelin vs JupyterHub

Apache Zeppelin is a web-based notebook for interactive data analytics and collaborative documents. Its pluggable interpreters support work in SQL, Scala, Python, R, and other languages, with backends including Apache Spark and Flink. Use it to ingest and explore data, analyze results, and create visualizations. Built-in charts can display output from any language backend; pivot charts support drag-and-drop aggregation. The Spark integration can provide SparkContext and SQLContext automatically, load dependencies at runtime, and show job progress or cancel jobs. Its SQL interpreter connects to JDBC sources such as PostgreSQL, MySQL, MariaDB, Redshift, and Apache Hive. Collaborators can share notebook URLs and receive changes in real time. The project documents single-user and multi-user deployments, including LDAP support. Zeppelin is open source under the Apache License 2.0 and costs nothing. It runs on Linux, macOS, self-hosted, and web environments. Anonymous access is enabled by default, so its documentation recommends configuring authentication or limiting use to a secured, trusted environment.

JupyterHub gives groups access to computational environments without requiring each person to install and maintain one. It creates a separate Jupyter environment for each user, and starts, manages and proxies that user's notebook server. It can serve interfaces such as Jupyter Notebook, JupyterLab, RStudio and nteract, with authentication configured through pluggable options including OAuth and GitHub. Organizations can run it in the cloud or on their own hardware, including virtual machines or a laptop. The Littlest JupyterHub targets a small, single-server setup, while Zero to JupyterHub with Kubernetes is designed for larger cloud deployments and includes a Helm chart and deployment guide. The project describes JupyterHub as container-friendly and Kubernetes-compatible, with capacity for up to tens of thousands of users. Its REST API supports administration of the Hub, users and services. JupyterHub is open-source software released under a modified BSD license and is free to use. It supports Python, R, Julia and Scala, with ipynb notebooks, and is intended for classrooms, research groups and corporate data science teams.