marimo
What ChatGPT, Claude, Gemini & Grok actually say · July 2026
The verdict
marimo appears in 1 AI-ranked category — best position #4 for collaborative data notebook for analytics teams.
Positioning brief — for the marimo team
Why the models put marimo at #4 for collaborative data notebook for analytics teams
- open-source reactive Python notebooks Claude · Gemini · Grok“reactive Python notebooks stored as plain .py files”
- Git-native collaboration Claude · Gemini · Grok“Git-based collaboration, code review, and reproducibility genuinely work”
- reproducible without hidden state Claude · Gemini · Grok“Reactive execution for reproducibility”
- scripts and apps without lock-in Claude · Grok“notebooks run as scripts or apps”
What the models credit Hex (#1) with — and don’t credit marimo
- real-time multiplayer editing Claude · Gemini · Grok“real-time multiplayer editing”
- SQL Python and no-code mix GPT · Claude · Gemini · Grok“seamless SQL/Python/no-code mix”
- built-in scheduling Claude“built-in scheduling”
What would move the rank — the models’ fix lines, unified
- no real-time multiplayer editing Claude · Grok“No hosted multiplayer/real-time editing”
- requires deployment and sharing infrastructure Claude · Grok“teams must assemble deployment, sharing, and scheduling infrastructure themselves”
- not for non-coding analysts Gemini“Not for non-coding analysts”
Restructured from verbatim model output · nothing invented · every quote machine-verified
The strongest open-source option — reactive Python notebooks stored as plain .py files, which makes Git-based collaboration, code review, and reproducibility genuinely work (no JSON diff hell); notebooks run as scripts or apps, and it has momentum as the modern Jupyter successor for teams wanting no vendor lock-in. Rank assumes async Git-style collaboration is acceptable; it lacks Google-Docs-style live co-editing.
Gemini Top open-source reactive Python notebook stored as clean Python scripts, eliminating state out-of-order execution bugs and providing git-native collaboration without licensing costs; assumed Python-centric analytics workflows.
Grok Reactive execution for reproducibility, pure Python/git-friendly storage (no hidden state issues), executable as scripts/apps, rising adoption for teams prioritizing maintainable, productionizable notebooks without vendor lock-in.
Where marimo falls short, per the models
- Claude No hosted multiplayer/real-time editing or built-in warehouse-native SQL scheduling — teams must assemble deployment, sharing, and scheduling infrastructure themselves.
- Gemini Not for non-coding analysts who rely on managed SaaS platforms with no-code SQL query builders and enterprise user governance out of the box.
- Grok Newer ecosystem/maturity; requires more self-hosting or cloud setup for seamless multi-user real-time vs hosted competitors.
Poll history — On this board 2 of 2 polls since Jul 19 · now #4
#5 → #4
Top alternatives per the models: Hex · Deepnote · Databricks Notebooks · Count
Watch marimo
Boards re-poll weekly and the models change their minds. One short email only when marimo's standing moves — a rank change, a rival overtaking, or new reasoning from the models. Nothing otherwise.
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marimo ranks #4 for best collaborative data notebook for analytics teams by AI-model consensus. Put the badge in your README, docs or site — it updates automatically as the models re-rank.
[](https://modelsagree.com/best/best-collaborative-data-notebook-for-analytics-teams?utm_source=badge&utm_medium=embed&utm_campaign=badge-marimo)<a href="https://modelsagree.com/best/best-collaborative-data-notebook-for-analytics-teams?utm_source=badge&utm_medium=embed&utm_campaign=badge-marimo"><img src="https://modelsagree.com/badge/marimo.svg" alt="marimo — ranked #4 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 weekly · raw reasoning shown verbatim · methodology