The verdict
Deepnote appears in 2 AI-ranked categories — best position #2 for collaborative data notebook for analytics teams.
Positioning brief — for the Deepnote team
Why the models put Deepnote at #2 for collaborative data notebook for analytics teams
- Smooth real-time multiplayer collaboration GPT · Claude · Gemini · Grok“Delivers the smoothest real-time multiplayer notebook interface”
- Strong Jupyter compatibility and migration GPT · Claude · Grok“full Jupyter compatibility (import/export .ipynb) that eases migration”
- Native SQL and Python workflows GPT · Claude · Gemini“first-class SQL and Python”
- Low-overhead team sharing and onboarding Claude · Gemini · Grok“excellent team sharing/versioning/permissions”
What the models credit Hex (#1) with — and don’t credit Deepnote
- Polished interactive app publishing GPT · Claude · Gemini · Grok“one-click publishing of notebooks as interactive apps for stakeholders”
- Reactive execution eliminates stale-cell bugs GPT · Claude · Gemini“reactive DAG execution eliminates stale-cell bugs”
- Strongest review and versioning workflow GPT · Claude · Grok“its review/versioning workflow is the strongest for teams treating analyses as shared assets”
What would move the rank — the models’ fix lines, unified
- Less mature stakeholder-facing analytics GPT · Gemini“stakeholder-facing analytics experience is less mature and cohesive than Hex’s”
- Fewer governance and data-app features Claude · Gemini“fewer enterprise governance/data-app features than Hex or Databricks”
- Limited huge-scale compute options Claude · Grok“compute options are more limited for large-scale or GPU-heavy work”
Restructured from verbatim model output · nothing invented · every quote machine-verified
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
Claude 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.
Gemini 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.
Grok 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.
Where Deepnote falls short, per the models
- GPT Its reporting, governed-metrics, and stakeholder-facing analytics experience is less mature and cohesive than Hex’s
- Claude 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.
- Gemini Not for organizations needing to build complex, multi-page data applications for non-technical business stakeholders.
- Grok Not the deepest for huge-scale Spark/big data production pipelines compared to lakehouse-native tools.
Poll history — #2 in all 2 polls since Jul 19
#2 → #2
Top alternatives per the models: Hex · Databricks Notebooks · marimo · Count
Purpose-built collaborative notebook for data teams — real-time multiplayer editing, native warehouse/SQL blocks that hand results to Python, scheduling, and app/dashboard publishing make it the most complete team workflow, not just a single-user notebook; strong governance and reproducible environments fit org use
Grok Closest modern drop-in for Jupyter with real-time Google-Docs-style collaboration, native AI agent across project context, first-class SQL/Python/R, managed compute plus data warehouse connectors, scheduling, and deployable apps while retaining better .ipynb portability and lower entry pricing than peers
Gemini Provides best-in-class real-time collaborative cloud notebooks with zero-setup compute, built-in SQL blocks, native database integrations, automated scheduling, and two-way Git syncing while maintaining standard Jupyter compatibility for low-friction team migration.
Where Deepnote falls short, per the models
- Claude Cloud/SaaS-centric with vendor lock-in and per-seat cost; not ideal for fully self-hosted or air-gapped shops, and heavy custom kernels can chafe against its managed runtime
- Gemini Retains traditional linear execution where hidden state bugs can persist; hosted cloud compute costs scale up quickly for compute-heavy ML workloads.
- Grok Full power remains SaaS-centric so heavy custom environments or strict air-gapped requirements still push teams back to local Jupyter or self-host options
Top alternatives per the models: Hex · marimo · Databricks Notebooks · JupyterLab
Head-to-head — how the models call it
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Boards re-poll weekly and the models change their minds. One short email only when Deepnote's standing moves — a rank change, a rival overtaking, or new reasoning from the models. Nothing otherwise.
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[](https://modelsagree.com/best/best-collaborative-data-notebook-for-analytics-teams?utm_source=badge&utm_medium=embed&utm_campaign=badge-deepnote)<a href="https://modelsagree.com/best/best-collaborative-data-notebook-for-analytics-teams?utm_source=badge&utm_medium=embed&utm_campaign=badge-deepnote"><img src="https://modelsagree.com/badge/deepnote.svg" alt="Deepnote — ranked #2 for Best collaborative data notebook for analytics teams by AI models on ModelsAgree" height="28"></a>Rankings are computed from what the models answer, re-polled on demand · raw reasoning shown verbatim · methodology