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Deepnote AI Copilot
☆☆☆☆☆
Code Generation & Assistants (176)

Deepnote AI Copilot Verified Tool

Deepnote AI Copilot assists data teams inside collaborative notebooks by generating and explaining code, creating visualizations and supporting natural-language data exploration with project context. Users should restrict data and warehouse access, remove secrets, inspect generated queries and packages, reproduce calculations, test notebooks, review charts and conclusions and retain qualified analyst approval.

Last Update: August 20, 2026

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Starting price Free + from $31/mo

Tool Information

Deepnote AI Copilot assists data teams inside collaborative notebooks by generating and explaining code, creating visualizations and supporting natural-language data exploration with project context. Users should restrict data and warehouse access, remove secrets, inspect generated queries and packages, reproduce calculations, test notebooks, review charts and conclusions and retain qualified analyst approval.

Use authorized, minimal inputs and grant integrations the least access required. Configure privacy, retention, sharing, brand, quality, accessibility, disclosure, export, moderation and spending controls. Test representative cases, verify generated facts, calculations, citations, code, translations, audio and visual details, preserve originals and version history, and retain accountable human approval before publication, hiring, customer contact, deployment or operational action.

A free Deepnote plan is available and paid workspace access starts from approximately $31 per editor per month. Editors, viewers, compute, AI usage, projects, integrations, storage, renewal, taxes and enterprise controls vary.

AI output can be inaccurate, biased, derivative, insecure, incomplete or misleading. Review consent, copyright, likeness, voice and commercial rights, training and retention terms, renewals, refunds, platform rules and applicable law. Hiring, research, analytics, translation, media, security and customer-facing workflows require qualified human review.

F.A.Q (3)

Deepnote AI Copilot assists data teams inside collaborative notebooks by generating and explaining code, creating visualizations and supporting natural-language data exploration with project context. Users should restrict data and warehouse access, remove secrets, inspect generated queries and packages, reproduce calculations, test notebooks, review charts and conclusions and retain qualified analyst approval.

Use authorized, minimal inputs and grant integrations the least access required. Configure privacy, retention, sharing, brand, quality, accessibility, disclosure, export, moderation and spending controls. Test representative cases, verify generated facts, calculations, citations, code, translations, audio and visual details, preserve originals and version history, and retain accountable human approval before publication, hiring, customer contact, deployment or operational action.

Verified pricing: Free + from $31/mo. A free Deepnote plan is available and paid workspace access starts from approximately $31 per editor per month. Editors, viewers, compute, AI usage, projects, integrations, storage, renewal, taxes and enterprise controls vary.

Pros and Cons

Pros

  • Generates Python; SQL; and text blocks from natural-language instructions
  • Provides context-aware code completion while users type
  • Edits existing code with a side-by-side diff
  • Explains complex code in plain language
  • Offers a notebook-wide agent for multi-step tasks
  • Can add; edit; remove; and execute notebook blocks
  • Includes Ask mode for non-editing questions
  • Shows an execution plan and real-time actions
  • Can self-correct after execution errors in autonomous mode
  • Understands surrounding notebook content and connected data context
  • Supports multiple OpenAI and Anthropic model choices
  • Can automatically select a model for a task
  • Allows an entire agent run to be undone
  • Integrates with Deepnote MCP tools and data connections
  • Code completion is available on all plans
  • Enterprise can connect an OpenAI-compatible custom model endpoint

Cons

  • Generated code; text; and analysis can contain errors; bias; and inaccuracies
  • Users must review code before running it
  • Autonomous mode can execute code and SQL and therefore requires careful permissions
  • Notebook outputs used as context may include row-level data
  • Native AI processing uses third-party providers such as OpenAI and Anthropic
  • Code completion processes notebook content; variable metadata; and related SQL context
  • The free plan allows only ten completions and five calls for several AI actions per month
  • The Team plan costs $39 per editor each month when billed yearly
  • AI usage beyond included credits is billed on a pay-as-you-go basis
  • Team includes only $39 of monthly AI credits
  • For Deepnote AI Copilot; enterprise pricing is custom
  • Bring-your-own-model support is Enterprise-only
  • Custom endpoints must be OpenAI-compatible
  • Deepnote does not guarantee every Agent feature will work with a custom model
  • Annual-plan downgrades and cancellations are not refundable
  • A suggested edit becomes active for execution even before the user presses Done

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Before you subscribe

  • Check the currency, billing period, automatic renewal, usage limits and seats at checkout — prices and promotions change.
  • App-store pricing can differ from website pricing by country, device and tax.
  • Share only authorised data, and read the provider's encryption, retention and model-training terms first.
  • AI output can be incomplete or wrong. Verify facts, citations, calculations and code before you publish or ship.
  • Commercial usage rights vary by plan, provider terms and jurisdiction.
  • None of these tools replaces a qualified professional for medical, legal or financial decisions.

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