Deepnote
AI-first notebook environment with native data integrations and real-time collaboration.
Pricing
Free tier
Flat rate
Adoption
↗RisingLicense
Open Source
Data freshness
Verified · Jul 16, 2026Overview
What is Deepnote?
Deepnote is a modern replacement for Jupyter notebooks offering an AI-enhanced design, sleek UI, and native data integrations. It supports Python, R, and SQL locally or in the cloud for scalable projects and team collaboration.
Key differentiator
“Deepnote stands out with its AI-first design and native data integrations, offering a modern alternative to traditional notebook environments like Jupyter.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
Deepnote's primary focus on Python, R, and SQL leaves other languages unsupported or with limited functionality.
Setting up Deepnote locally requires significant configuration which can be time-consuming and error-prone for new users.
Real-time collaboration with large datasets can lead to slow response times or data processing delays, impacting productivity.
Deepnote offers fewer out-of-the-box integrations for tools and services commonly used in ML workflows, requiring manual setup or workarounds.
Fit analysis
Who is it for?
✓ Best for
Teams needing scalable cloud notebooks with native integrations and real-time collaboration
Projects that require seamless transition from local to cloud development
Developers working on data apps who need a modern, AI-enhanced notebook environment
✕ Not a fit for
Users requiring only local execution without cloud capabilities
Teams preferring traditional Jupyter notebooks over more feature-rich alternatives
Cost structure
Pricing
Free Tier
Available
Starts at
Freemium
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Works well with
Next step
Get Started with Deepnote
Step-by-step setup guide with code examples and common gotchas.