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Deepnote’s AI Copilot simplifies and contextualizes code suggestions, making the process of exploring data in notebooks effortless.

About Deepnote

Deepnote offers an AI Copilot that gives contextual code suggestions inside data notebooks, aimed at data scientists and analysts. The assistant works within the notebook environment and uses the notebook context to propose completions, which the vendor says helps cut repetitive and boilerplate coding. The platform also includes real-time collaboration, commenting and revision history for teams. A free plan limits AI code completions to 10 per month, and paid plans extend the AI features.

Best for: data scientists, data analysts, teams working with notebooks, educational users

Key features

  • Provides AI-driven code suggestions based on notebook context
  • Runs inside the notebook environment, so suggestions use the notebook context
  • Collaborative features for teams, including real-time editing and commenting
  • Offers a free plan with limited AI completions
  • Revision history and versioning for tracking changes

Use cases

  • Generating code snippets for data analysis tasks
  • Assisting with repetitive or boilerplate coding in notebooks
  • Collaborative data exploration and sharing insights in teams
  • Educational use for teaching data science and analytics

Pros

  • Free plan available for individuals with limited AI features
  • Real-time collaboration and commenting

Limitations

  • Free plan limits AI code completions to 10 per month

Screenshots

Deepnote screenshot

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