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Deepnote
Collaborative notebooks for real‑time Python and SQL data science.
Pricing Plans
Explore the pricing plans to find the best fit for your needs.
Pricing Model: Freemium
Free
Free
Free forever version for aspiring data analysts and scientists.
Up to 3 editors
Up to 5 projects
Limited Deepnote AI
Basic machines with 5 GB RAM, 2 vCPU
7 day revision history
Core capabilities: code blocks, SQL blocks, text blocks, chart blocks, autocomplete, scheduled runs, terminal, variable explorer, interactive apps & dashboards, import/export as .ipynb, folders, notebook API, white‑labeled notebooks
Real‑time collaboration, commenting, public projects
Access controls, shared datasets, sync notebooks with git
Public docker images, basic compute ($112/month worth)
Security: SOC 2 Type II, encrypted data
Integrations with major databases and storage
Live chat support
Most Popular
Team
$39
For data teams needing a powerful platform for seamless collaboration.
Everything in Free
Unlimited viewers & notebooks
GPT‑5.6 Sol and Sonnet 4.6 access
Premium integrations
Background execution
Scheduled notebooks
30 day revision history
$39 worth of AI credits each month
$280 worth of CPU each month
$50 worth of GPU each month
More powerful machines
Discounted additional compute
Inactivity timeout 15 minutes
Permission groups, SSO & directory sync, private Docker images, bring‑your‑own LLM
Audit logs, federated authentication, single‑tenant deployments
Dedicated success manager (optional upgrade)
Live chat support
Enterprise
Contact for Pricing
For organizations building secure and auditable workspaces for humans and agents.
Everything in Team
Custom contract & invoice
Priority support
Dedicated success manager
Unlimited AI usage
Advanced permission groups
SSO & directory sync, private Docker images, bring‑your‑own LLM
Audit logs, federated authentication, single‑tenant deployments
Volume machine discounts
Private cloud/on‑premise deployment
HIPAA compliance, SSH tunnels
24‑hour inactivity timeout
Custom machines and performance tiers
About the Product
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Platforms
Target AudienceData scientists and collaborative teams
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Tags
collaborationnotebookdata-sciencepythonsql