Quick comparison # App Pricing Verified price Open source Platforms Verified facts Score 1 HexFree plan + paid $36 per editor/month (Professional) No Web 5 of 5 64.8 2 marimoOpen source — Yes Windows, macOS, Linux +2 4 of 4 61.8 3 Jupyter NotebookOpen source — Yes Web, Windows, macOS +2 5 of 5 51.2 4 KaggleFree — No Web 3 of 3 42.3
1 1. Hex Top pick Best for: Analytics teams on a cloud warehouse who want notebooks that become shareable data apps
Free plan + paid Web
Why switch from Google Colab
Turns SQL and Python notebooks into shareable data apps, aimed at analytics teams on a warehouse.
Pros Notebooks publish as interactive apps for non-technical colleagues Works with dbt, Airflow and Dagster Free trial of the Team plan needs no payment cardCons Community plan is limited to small compute and light AI use Per-editor pricing is high compared with general notebook tools Larger machines and GPUs are billed per minute on top of the planHow this score is calculated Editorial fit ×0.3 87
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula
2 Best for: Python developers who want reproducible notebooks that live in Git as normal code
Open source Self-hostable Windows, macOS, Linux, Web, Self-hosted
Why switch from Google Colab
Open-source reactive notebook stored as plain Python files, so it works well with Git and runs locally.
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 licensedCons 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 allowedHow this score is calculated Editorial fit ×0.3 77
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula
3 Best for: Students, researchers and data analysts who want to explore data step by step in a shareable document
Open source Self-hostable Web, Windows, macOS, Linux, Self-hosted
Why switch from Google Colab
The open-source notebook Colab is built on; run it on your own hardware with no session time limits or idle disconnects.
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 JupyterHubCons 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 debuggingHow this score is calculated Editorial fit ×0.3 41
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
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) 4 Best for: Students and data scientists who want free notebooks, public datasets and ML competitions in one place
Free Web
Why switch from Google Colab
Free hosted notebooks with GPU time, plus public datasets and competitions to practise on.
Pros Free hosted notebooks with a weekly GPU and TPU allowance Huge library of public datasets and models to start from Competitions give real problems with public leaderboards Official open-source CLI for downloading data and submittingCons Notebook sessions have time limits and capped accelerator hours Not built for private team work on company data Web only; the notebook environment can't be self-hostedHow this score is calculated Editorial fit ×0.3 12
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula