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Deepnote AI

Collaborative Jupyter-compatible notebook with built-in AI assistance

Data AnalysisWebFreemium

Overview

Deepnote is a collaborative data science notebook platform fully compatible with Jupyter that adds AI assistance for code generation, debugging, and data exploration. Teams can work together in real time on Python notebooks, connect to databases, and publish interactive reports. The built-in AI helps generate code, explain outputs, and suggest next analysis steps.

Use Cases

  • •Collaborative Python notebook development with real-time co-editing
  • •AI-assisted data analysis and code generation within notebooks
  • •Connecting to databases and querying data directly inside notebooks
  • •Publishing data science findings as interactive reports
  • •Teaching and learning data science in a shared environment
  • •Running reproducible data pipelines with scheduled notebook execution

Features

  • •Real-time collaborative notebook editing
  • •Jupyter notebook compatibility
  • •AI code generation and explanation
  • •Database and data warehouse connections
  • •Interactive report publishing
  • •Scheduled notebook runs
  • •Version history and comments

Integrations

PostgreSQLBigQuerySnowflakeRedshiftGitHubS3

Getting Started

  1. 1Sign up at deepnote.com
  2. 2Create a new project and open a Python notebook
  3. 3Connect a database or upload data files
  4. 4Use the AI assistant to generate or explain code cells
  5. 5Share the notebook or publish it as a report for your team

Practical Notes

  • •Free tier includes limited compute hours and storage
  • •Existing Jupyter notebooks can be imported directly
  • •AI features are available on all plans with usage limits on free tier
  • •Real-time collaboration makes it useful for data teams and classrooms alike

This listing is for informational purposes only. CodexSpot is not affiliated with Deepnote AI.