Apache Zeppelin vs JupyterLab
Apache Zeppelin
zeppelin.apache.org
JupyterLab
jupyter.orgSide by side
| Figure | Apache Zeppelin | JupyterLab |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Notebook Software | 9.0 (#3) | 8.8 (#4) |
| Spec score · Data Science Analytics | 8.8 (#4) | 8.5 (#5) |
| Collaboration | Notebook URLs can be shared with collaborators, with changes broadcast in real time; results can also be displayed in an embeddable page. | Real-time collaboration can be activated by installing the jupyter_collaboration extension. |
| Deployment | The project documents single-user and multi-user deployments, including multi-user support with LDAP. | JupyterLab can be installed with pip, and the installation page also gives a Homebrew command for macOS and Linux. |
| Founded | 2013 | 2014 |
| License | Apache Zeppelin is open-source software licensed under Apache License 2.0. | JupyterLab source code is released under the revised BSD license, commonly identified as BSD-3-Clause. |
| Purpose | Apache Zeppelin is a web-based notebook for interactive data analytics and collaborative documents. | JupyterLab is a web-based interactive development environment for notebooks, code, and data. |
| Visualization | Built-in charts can visualize output from any language backend, and pivot charts support drag-and-drop aggregation. | JupyterLab supports visualization libraries including matplotlib and Plotly, while interactive plots or widgets may require additional packages. |
Plans
In their own words
Apache Zeppelin
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.
JupyterLab
JupyterLab is a web-based environment for interactive work with notebooks, code and data. Its workspace brings notebooks, text editors, terminals and custom components together in tabs and splitters. Code consoles act as scratchpads, and kernel-backed documents can run code in files such as Markdown, Python, R and LaTeX. It supports the .ipynb format used by classic Jupyter Notebook, and can view and edit formats including Markdown, images, CSV, JSON, HTML, LaTeX and PDF. Visualization libraries include matplotlib and Plotly; interactive plots or widgets may require additional packages. Extensions can add themes, viewers, editors, output renderers and interface controls, but can execute code in the browser, server and kernel, so only trusted extensions are advised. Real-time collaboration can be enabled with jupyter_collaboration. JavaScript and HTML outputs from notebooks created elsewhere remain hidden until the notebook is trusted. JupyterLab is free, open-source software under a modified BSD license, installed with pip or via a Homebrew command for macOS and Linux. It runs on Linux, macOS, the web and self-hosted systems.