Quick comparison
| # | App | Pricing | Verified price | Open source | Platforms | Verified facts | Score |
|---|
| 1 | marimo | Open source | — | Yes | Windows, macOS, Linux +2 | 4 of 4 | 59.4 |
| 2 | Jupyter Notebook | Open source | — | Yes | Web, Windows, macOS +2 | 5 of 5 | 56.8 |
1
Best for: Python developers who want reproducible notebooks that live in Git as normal code
Open sourceSelf-hostableWindows, macOS, Linux, Web, Self-hosted
Why switch from Apache Zeppelin
Modern open-source reactive Python notebook stored as plain .py files.
Pros
- Reactive execution removes stale or out-of-order state
- Notebooks are plain .py files with readable Git diffs
- Can run as a script or be served as an interactive app
- Free and Apache-2.0 licensed
Cons
- Not compatible with Jupyter's .ipynb format without conversion
- Python only, with no R or Julia kernels
- Reactive model means reusing a variable name across cells is not allowed
How this score is calculated
Editorial fit ×0.369
Reviews ×0.363
Clicks (90 days) ×0.150
Freshness ×0.15100
Votes ×0.150
0 counted reviews, 0 up and 0 down votes. Full formula
2
Best for: Students, researchers and data analysts who want to explore data step by step in a shareable document
Open sourceSelf-hostableWeb, Windows, macOS, Linux, Self-hosted
Why switch from Apache Zeppelin
The standard open-source notebook, with a far larger ecosystem of kernels and extensions.
Pros
- Free and open source with no paid tier
- Supports many languages through separate kernels
- Notebooks render on GitHub and are easy to share
- Can be run for a whole class or team with JupyterHub
Cons
- Needs a local Python setup or a server; no official desktop installer
- Out-of-order cell execution makes results easy to break
- Old v6 extensions don't work in Notebook 7
- Weak fit for large codebases, refactoring and debugging
How this score is calculated
Editorial fit ×0.360
Reviews ×0.363
Clicks (90 days) ×0.150
Freshness ×0.15100
Votes ×0.150
0 counted reviews, 0 up and 0 down votes. Full formula
Verified facts
5 of 5 verified- License
- BSD-3-Clause
- Checked Nov 1, 2026github.com(opens source in a new tab)
- Languages
- 40+, incl. Python, R, Julia
- Checked Nov 8, 2026jupyter.org(opens source in a new tab)
- Install
- pip install notebook
- Checked Nov 8, 2026jupyter.org(opens source in a new tab)
- Origin
- IPython project, 2014
- Checked Nov 8, 2026jupyter.org(opens source in a new tab)
- Notebook format
- Open, JSON-based
- Checked Nov 8, 2026jupyter.org(opens source in a new tab)