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Deepnote

Collaborative, Jupyter-compatible data notebook with an AI copilot

research#data-notebook#jupyter#ai-copilot#collaboration
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Toolglade’s take

Deepnote is a polished, genuinely collaborative notebook, and its AI copilot plus real-time co-editing make it a natural fit for data teams that outgrew passing Jupyter files around. Warehouse integrations and scheduling push it toward production analytics. The free tier is limited on editors and compute, and solo users with simple scripts may not need it. A strong pick for collaborative data science and analytics work.

About Deepnote

Deepnote is a Jupyter-compatible collaborative data notebook with real-time editing, SQL cells, warehouse integrations, and an AI copilot that completes code, generates analysis, and chats with your data.

Deepnote is a cloud data notebook built for collaboration. It is Jupyter-compatible but adds Google-Docs-style real-time co-editing, native SQL cells, scheduling, and integrations with data warehouses such as Snowflake, BigQuery, and Redshift. This makes it a shared workspace where data teams can explore data, build analyses, and ship dashboards together rather than passing notebooks back and forth. The AI layer is a core part of the modern product. An AI copilot offers code completion, natural-language-driven code generation, and a data copilot you can chat with to create charts, write code, and turn notebooks into dashboards or apps. Higher tiers unlock access to leading models, making the AI features more capable for teams doing serious analysis. Deepnote offers a free plan for small teams and projects and a Team plan around $39/month that unlocks unlimited notebooks, premium warehouse integrations, scheduling, background execution, and bundled compute, plus an Enterprise tier. It is a strong pick for collaborative data science and analytics teams that want AI assistance inside a familiar notebook, though solo users with simple needs may find lighter tools sufficient.

TL;DR

Deepnote is a collaborative, Jupyter-compatible data notebook with real-time editing, SQL cells, warehouse integrations, and an AI copilot for code generation and chatting with data.

Company overview

Deepnote is a data-tooling company building a collaborative notebook for modern data teams. It differentiates on real-time co-editing and an integrated AI copilot layered on a Jupyter-compatible foundation.

The company serves data scientists and analysts through a freemium model, with paid tiers unlocking warehouse integrations, scheduling, and more compute. Its direction leans toward AI-assisted, production-oriented analytics rather than solo exploration alone.

Product features

Deepnote provides real-time collaborative editing, SQL cells, scheduling, and background execution, plus integrations with Snowflake, BigQuery, Redshift, and PostgreSQL. The AI copilot completes code, generates analysis from natural language, and lets users chat with data to build charts, dashboards, and apps.

Higher tiers unlock leading models and premium integrations, and notebooks can be published as dashboards or apps. The overall focus is collaborative, AI-assisted data work.

Target market

Deepnote targets data science and analytics teams, researchers, and analysts who want collaborative notebooks with integrated AI and warehouse connectivity.

Buyer personas

End users

Data scientists and analysts writing Python and SQL in shared notebooks.

Buyers

Data team leads and engineering managers purchasing Team or Enterprise plans.

Key influencers

Analytics leaders and data platform owners evaluating collaboration and AI features.

Ideal customer profile

Collaborative data teams that want AI-assisted, warehouse-connected notebooks.

Funding & performance

Deepnote is a venture-backed company; verify the latest funding details with the vendor or public sources.

Pros & cons

Pros

  • Real-time collaborative editing
  • Jupyter-compatible
  • AI copilot for code and analysis
  • Warehouse integrations (Snowflake, BigQuery, Redshift)
  • Scheduling and background execution
  • Publish dashboards and apps

Cons

  • Free tier limits editors and compute
  • Overkill for simple solo scripts
  • Premium integrations gated to paid tiers
  • Cloud-only, no self-hosting on standard plans
  • Compute credits can add cost

Pricing plans

Free
$0
  • Up to ~3 editors
  • Limited projects and compute
  • Jupyter compatibility
  • Limited AI access
Team
$39 / month
  • Unlimited notebooks and viewers
  • Premium warehouse integrations
  • Full AI copilot access
  • Scheduling and background execution
  • Bundled compute credits
Enterprise
Custom
  • Advanced security and SSO
  • Governance controls
  • Dedicated support
  • Custom compute

Key features

API
Team collaboration
Multi-language
Integrations
Snowflake, BigQuery, Redshift, PostgreSQL, Jupyter
Input types
text
Output types
text
Best For
data science teams, analysts, collaborative notebooks

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Feature
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Pricing
Freemium
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Freemium
Free plan
Yes
Yes
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Free trial
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API
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No
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Team support
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Frequently asked questions

Is Deepnote compatible with Jupyter?+

Yes, Deepnote is Jupyter-compatible while adding real-time collaboration, SQL cells, scheduling, and an AI copilot.

What can the Deepnote AI copilot do?+

It offers code completion, natural-language code generation, and a data copilot you can chat with to create charts, write code, and build dashboards or apps.

Which data warehouses does Deepnote support?+

Deepnote integrates with warehouses including Snowflake, BigQuery, and Redshift, plus databases like PostgreSQL.

Is there a free plan?+

Yes, Deepnote has a free plan for small teams with limited editors and compute; the Team plan around $39/mo unlocks more.

Can Deepnote schedule notebooks?+

Yes, paid tiers support scheduled notebooks and background execution for automated, recurring analysis.

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