Deepnote

A collaborative data science notebook with a free Student plan that includes more powerful hardware than the standard free tier.

FreeData & Analytics Research CodeWeb

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What is Deepnote?

Deepnote is a collaborative data science notebook built for modern teams that want to explore, analyse, and share data insights in real-time. It combines the power of Python and SQL in a single environment, allowing data scientists, analysts, and engineers to write code, visualise results, and document findings without switching between tools. The platform emphasizes collaboration by enabling multiple users to work simultaneously on the same notebook, leave comments, and version control their work smoothly. Deepnote stands out with its generous free tier that offers more computational resources than many competitors, making it particularly valuable for students and small teams just starting their data science journey. The platform integrates with popular databases and data sources, allowing users to connect directly to their data infrastructure and build reproducible workflows that the entire team can access and iterate on.

Key Features

Collaborative real-time editing

Multiple users can work on the same notebook simultaneously with live cursors and instant updates

Python and SQL support

Write and execute both Python and SQL queries in the same notebook environment

Built-in data visualization

Create charts, graphs, and interactive visualizations without external libraries

Database integration

Connect directly to PostgreSQL, MySQL, BigQuery, Snowflake, and other data sources

Version control and history

Automatic version tracking and the ability to revert to previous notebook states

Shareable notebooks

Publish and share interactive notebooks with read-only or collaborative access controls

Pros & Cons

Advantages

Generous free tier with powerful hardware, ideal for students and individual data scientists
True real-time collaboration makes team-based data work significantly more efficient
Simple, intuitive interface that's accessible to both beginners and experienced data professionals
Native SQL support eliminates the need to switch between tools when working with databases
Excellent for creating reproducible, shareable analysis and documentation

Limitations

Smaller ecosystem compared to Jupyter or other established notebook platforms, with fewer third-party extensions
Free tier may have limitations on computation time, memory, or the number of collaborators on complex projects
Less mature than some competitors, which may mean occasional bugs or missing advanced features

Use Cases

Student projects and coursework in data science, machine learning, and analytics classes

Team-based exploratory data analysis where multiple analysts need to collaborate in real-time

Creating shareable reports and dashboards to communicate data insights to stakeholders

Building and documenting ETL pipelines that connect to production databases

Prototyping machine learning models and sharing experimental code with colleagues

Pricing

FreeFree

Individual notebooks, real-time collaboration, Python and SQL support, integration with common databases, generous hardware allocation

StudentFree

All Free tier features with enhanced hardware and computational resources, designed specifically for academic use

ProCustom pricing

Advanced collaboration features, priority support, increased computational resources, and additional integrations for professional teams

Quick Info

Website: deepnote.com
Pricing: Free
Platforms: Web
Categories: Data & Analytics, Research, Code

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