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Best / Data science notebooks

Best open-source Data science notebooks

The best self-hosted notebook split in the c17.io catalog is JupyterHub for a BSD-3-Clause multi-user server (the published Google Colab stack), marimo when you want that Apache-2.0 reactive Python file, JupyterLab when the job is the BSD-3-Clause IDE JupyterHub can spawn, and SurfSense when the job is a research Q&A notebook rather than a kernel. This is not Colab's every GPU SKU. Cited research stays on /best/research-notebooks.

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Ranked picks

  1. 1

    JupyterHub

    BSD-3-Clause multi-user notebook server — the c17 Google Colab path. /compare/jupyterhub-vs-marimo.

    When to pick it: Kernels and users you host.

    8,362 stars in the catalog

  2. 2

    Marimo

    Apache-2.0 reactive Python notebook — /compare/jupyterhub-vs-marimo.

    When to pick it: A script-shaped notebook, not a multi-user hub.

    23,236 stars in the catalog

  3. 3

    JupyterLab

    BSD-3-Clause notebook IDE JupyterHub can spawn. Not a hub by itself.

    When to pick it: The editor, not the multi-user proxy.

    15,373 stars in the catalog

  4. 4

    SurfSense

    Apache-2.0-core research notebook already on /best/research-notebooks. Not a data-science kernel.

    When to pick it: Cited answers over sources, not a Colab runtime.

How they compare

ToolLicenseSelf-hostBest for
JupyterHubBSD-3-ClauseMediumKernels and users you host.
MarimoApache License 2.0EasyA script-shaped notebook, not a multi-user hub.
JupyterLabBSD-3-ClauseMediumThe editor, not the multi-user proxy.
SurfSenseApache-2.0 (core); BUSL-1.1 (proprietary directory)MediumCited answers over sources, not a Colab runtime.

Related pages

FAQ

JupyterHub or marimo?
JupyterHub if you want the published Colab path. marimo if you want a reactive Python file — /compare/jupyterhub-vs-marimo.
Is this NotebookLM?
Cited research stays on /replace/notebooklm (SurfSense). This page is a data-science kernel.
Are these free?
JupyterHub and JupyterLab are BSD-3-Clause. marimo is Apache-2.0. You pay hosting and any GPUs you attach. Template users never pay c17.
How do I deploy it?
Open /stacks/jupyterhub-notebooks. Persist notebooks. Create one user and one notebook.

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