
marimo
Reactive Python notebooks that stay reproducible, git‑friendly, and deployable
- Stars
- 17,575
- License
- Apache-2.0
- Last commit
- 3 days ago
Explore leading tools in the Notebook & Data Science Platforms category, including open-source options and SaaS products. Compare features, use cases, and find the best fit for your workflow.
7 open-source projects · 4 SaaS products
These projects are active, self-hostable choices for knowledge management teams evaluating alternatives to SaaS tools.

Reactive Python notebooks that stay reproducible, git‑friendly, and deployable

Next-generation interactive computing environment for notebooks, code, and data

Edit Jupyter notebooks as plain text scripts for seamless version control

Polyglot notebook with IDE‑grade editing for Scala, Python, SQL

AI‑enhanced Jupyter alternative with seamless code assistance
Reactive Python notebooks that stay reproducible, git‑friendly, and deployable
JupyterLab provides a flexible, extensible UI for notebooks, terminals, editors, and file browsing, supporting modern browsers and easy installation via conda, mamba, or pip.
Understand the commercial incumbents teams migrate from and how many open-source alternatives exist for each product.
Collaborative cloud notebooks (Jupyter, LaTeX, SageMath) with real-time editing
Real-time collaborative notebooks for data & AI on Databricks
Collaborative data notebook for Python & SQL with real-time teamwork
Modern collaborative notebooks combining SQL + Python and interactive apps
CoCalc lets teams co-edit Jupyter notebooks and other computational docs in real time, with compute servers for powerful CPUs/GPUs and collaboration features built in.
Frequently replaced when teams want private deployments and lower TCO.
Browse neighbouring categories in ML & AI to widen your evaluation.