Quick comparison # App Pricing Verified price Open source Platforms Verified facts Score 1 Google ColabFree plan + paid — No Web 4 of 4 64.8 2 MetabaseOpen source $100/month (Starter) Yes Web, Self-hosted 5 of 5 64.0 3 marimoOpen source — Yes Windows, macOS, Linux +2 4 of 4 61.8 4 Jupyter NotebookOpen source — Yes Web, Windows, macOS +2 5 of 5 51.2 5 ObservableFree plan + paid — No Web, macOS 4 of 4 40.0
1 Best for: Students and ML learners who want free GPU notebooks with nothing to install
Free plan + paid Web
Why switch from Hex
Free hosted Jupyter with GPUs, better for ML experiments than warehouse analytics.
Pros Free access to GPUs and TPUs for learning and small experiments No setup: runs entirely in the browser with a Google account Standard .ipynb files that open in any Jupyter toolCons Free resources are not guaranteed and sessions get terminated Data has to be uploaded or mounted from Google Drive each session Real-time collaboration is weaker than in team notebook toolsHow 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
Verified facts 4 of 4 verified 2 Best for: Startups and product teams wanting quick, self-hosted dashboards on top of their own database
Open source Self-hostable Web, Self-hosted
Why switch from Hex
An open-source BI tool where analysts and non-technical users build dashboards with a query builder or SQL.
Pros Free open-source edition with unlimited users Point-and-click question builder plus a SQL editor Easy to self-host with Docker or a single JAR file Popular choice for embedding analytics in a productCons Row-level permissions and SSO need a paid plan Lighter data modelling than Tableau or Power BI Paid cloud plans start at a noticeable monthly base priceHow this score is calculated Editorial fit ×0.3 34
Reviews ×0.3 63
Clicks (90 days) ×0.15 100
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula
3 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 Hex
Free and open source, runs locally and can serve notebooks as apps without a per-editor fee.
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
4 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 Hex
The free, open-source notebook Hex builds on, run locally or on your own server without per-seat pricing.
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) 5 Best for: Analysts and developers building interactive JavaScript charts and dashboards to share
Free plan + paid Web, macOS
Why switch from Hex
Better for custom interactive visualisations, with an open-source framework for dashboards.
Pros Reactive notebooks where charts update as soon as inputs change Made by the D3 team, with strong charting tools built in Open-source Framework and Plot can be used without the hosted serviceCons Built around JavaScript, which is less familiar to Python-first data scientists Private team sharing needs a paid plan Several separate products can make the offering confusing at firstHow this score is calculated Editorial fit ×0.3 12
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 85
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula