{"slug":"deepnote","name":"Deepnote","domain":null,"verdict":"As of 2026-07-20, ChatGPT, Claude, Gemini, Grok collectively rank Deepnote #2 of 7 for collaborative data notebook for analytics teams. Source: https://modelsagree.com/product/deepnote (modelsagree.com, CC BY 4.0).","best_rank":2,"categories":1,"brief":{"category":"best-collaborative-data-notebook-for-analytics-teams","title":"Best collaborative data notebook for analytics teams","rank":2,"of":7,"top":"Hex","day":"2026-07-20","why":[{"t":"Smooth real-time multiplayer collaboration","m":["ChatGPT","Claude","Gemini","Grok"],"q":"Delivers the smoothest real-time multiplayer notebook interface"},{"t":"Strong Jupyter compatibility and migration","m":["ChatGPT","Claude","Grok"],"q":"full Jupyter compatibility (import/export .ipynb) that eases migration"},{"t":"Native SQL and Python workflows","m":["ChatGPT","Claude","Gemini"],"q":"first-class SQL and Python"},{"t":"Low-overhead team sharing and onboarding","m":["Claude","Gemini","Grok"],"q":"excellent team sharing/versioning/permissions"}],"gap":[{"t":"Polished interactive app publishing","m":["ChatGPT","Claude","Gemini","Grok"],"q":"one-click publishing of notebooks as interactive apps for stakeholders"},{"t":"Reactive execution eliminates stale-cell bugs","m":["ChatGPT","Claude","Gemini"],"q":"reactive DAG execution eliminates stale-cell bugs"},{"t":"Strongest review and versioning workflow","m":["ChatGPT","Claude","Grok"],"q":"its review/versioning workflow is the strongest for teams treating analyses as shared assets"}],"fix":[{"t":"Less mature stakeholder-facing analytics","m":["ChatGPT","Gemini"],"q":"stakeholder-facing analytics experience is less mature and cohesive than Hex’s"},{"t":"Fewer governance and data-app features","m":["Claude","Gemini"],"q":"fewer enterprise governance/data-app features than Hex or Databricks"},{"t":"Limited huge-scale compute options","m":["Claude","Grok"],"q":"compute options are more limited for large-scale or GPU-heavy work"}]},"entries":[{"slug":"best-collaborative-data-notebook-for-analytics-teams","title":"Best collaborative data notebook for analytics teams","rank":2,"of":7,"score":16,"appearances":4,"modelRanks":{"ChatGPT":2,"Claude":2,"Gemini":2,"Grok":2},"reason":"Excellent real-time multiplayer notebooks, strong Jupyter compatibility, first-class SQL and Python, simple data connections, comments, apps, scheduling, and an Apache-2.0 open-source option; nearly ties Hex and wins when notebook familiarity or deployment control matters most","reasons":[{"model":"ChatGPT","reason":"Excellent real-time multiplayer notebooks, strong Jupyter compatibility, first-class SQL and Python, simple data connections, comments, apps, scheduling, and an Apache-2.0 open-source option; nearly ties Hex and wins when notebook familiarity or deployment control matters most"},{"model":"Claude","reason":"Closest rival to Hex with real-time collaboration, commenting, SQL blocks against warehouses, scheduled notebooks, and full Jupyter compatibility (import/export .ipynb) that eases migration; friendlier entry pricing and a smoother path for teams already living in Jupyter. Near-tie with Hex — Hex edges it on app publishing and reactive execution guarantees."},{"model":"Gemini","reason":"Delivers the smoothest real-time multiplayer notebook interface with flexible environment management and native SQL support, nearly tying Hex for exploratory UX; assumed quick team onboarding and exploratory speed are prioritized over complex app building."},{"model":"Grok","reason":"Google Docs-style real-time collaboration, polished managed Jupyter-like environment with low ops overhead, excellent team sharing/versioning/permissions, strong for mixed human/AI workflows and professional analytics teams."}],"fixes":[{"model":"ChatGPT","fix":"Its reporting, governed-metrics, and stakeholder-facing analytics experience is less mature and cohesive than Hex’s"},{"model":"Claude","fix":"Smaller ecosystem and fewer enterprise governance/data-app features than Hex or Databricks; compute options are more limited for large-scale or GPU-heavy work."},{"model":"Gemini","fix":"Not for organizations needing to build complex, multi-page data applications for non-technical business stakeholders."},{"model":"Grok","fix":"Not the deepest for huge-scale Spark/big data production pipelines compared to lakehouse-native tools."}],"updated":"2026-07-20","rank_history":{"days":["2026-07-19","2026-07-20"],"ranks":[2,2]},"api":"https://modelsagree.com/api/v1/best/best-collaborative-data-notebook-for-analytics-teams.json"}],"page":"https://modelsagree.com/product/deepnote","check":"https://modelsagree.com/check?q=Deepnote","updated":"2026-07-21T04:28:25.186Z","attribution":"modelsagree.com, CC BY 4.0"}