Deepnote
Collaborative notebook that went open-source, drop-in for Jupyter
Overview
A cloud data-science notebook with real-time collaboration, native SQL blocks, an AI agent, and — as of 2025 — an open-source, YAML-based notebook format positioned as a Jupyter replacement.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 13 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- Real-time collaboration
- 5GB RAM machines
- 7-day revision history
- Limited AI
- GPT-5 + Sonnet 4.5 AI
- Snowflake/BigQuery/Redshift
- Scheduling + background runs
- 30-day history
- SSO + audit logs
- Dedicated support
What you can produce with Deepnote
- Real-time collaborative notebooks (Google-Docs-style)
- Open-source .deepnote YAML notebook format
- @deepnote/convert CLI for .ipynb ↔ .deepnote
- Native SQL blocks + warehouse integrations (Snowflake, BigQuery, Redshift)
- AI agent with GPT-5 and Claude Sonnet 4.5
- Scheduled notebooks and background execution
- Deployable, shareable data apps
- VS Code extension and Deepnote Toolkit
ASEAN Perspective
Deepnote in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Deepnote is what Jupyter would look like rebuilt for teams: Google-Docs-style live editing, native SQL blocks, scheduling, deployable data apps, and an AI agent that writes queries and code. The 2025 open-source move is the big shift — the new .deepnote YAML format ditches .ipynb's messy JSON for something readable and version-control-friendly, and a convert CLI moves notebooks both ways, so you're less locked in than the usual hosted platform. The free tier (up to 3 editors, 5 projects, 5GB machines) is real for students and solo analysts; serious compute, full AI (GPT-5, Sonnet 4.5), and warehouse integrations start on Team at $39/month. Caveats stand: heavy compute gets expensive, sensitive work raises data-residency questions on a hosted platform, and power users may still prefer a local setup. For teams that want notebooks without babysitting infrastructure, it's one of the strongest options going.
What people say
Deepnote's reputation was already "the notebook built for collaboration," and G2, Capterra, and GetApp reviewers reliably praise the real-time editing, native database integrations, and AI features as worth the money — while flagging that compute-heavy or large-team use gets steep. What changed the story in 2025 is that the company open-sourced its core and reframed itself as a drop-in Jupyter replacement rather than just a hosted competitor.
The technical heart of that move is a new file format. The .deepnote YAML format replaces .ipynb's tangled JSON with clean, human-readable, version-control-friendly blocks — code, SQL, inputs, charts — defined and validated through the open @deepnote/blocks package. You can convert .ipynb to .deepnote and back with the open @deepnote/convert CLI, and there's a VS Code extension and a Deepnote Toolkit in the org's 21-repo GitHub presence. The pitch, in the CEO's words, is that notebooks are moving "from single-player JSON scrolls to reactive, AI-ready projects that humans and agents can co-author."
Pricing is straightforward. The free tier covers up to 3 editors and 5 projects on 5GB machines with 7-day revision history and limited AI — genuinely usable for students, educators, and solo analysts. Team at $39/month unlocks unlimited notebooks and viewers, full AI including GPT-5 and Sonnet 4.5, premium integrations (Snowflake, BigQuery, Redshift), scheduled notebooks, background execution, 30-day revision history, and bundled compute credits. Enterprise adds SSO, audit logs, and dedicated support.
The consistent praise across review sites: collaboration and shareable, app-like outputs that non-notebook stakeholders can actually read. The consistent gripe: cost scales fast once you need sustained compute or a big editor seat count, and — as with any hosted platform — teams handling regulated or sensitive data have to weigh where execution happens. The open-source format softens the lock-in worry that used to be the main reason to hesitate. For ASEAN teams it's a global English SaaS with no regional tuning, but the free tier and the export path make it low-risk to trial.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Deepnote's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Deepnote unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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