Deepnote
Analytics platforms
Data science and machine learning platforms
Python integrated development environments (IDE)
Integrated development environments (IDE)
Dashboard software
Healthcare BI software
KPI software
Report writing software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Deepnote
Deepnote is a cloud-based collaborative notebook environment for data science and analytics work. It supports Python-centric development with notebooks, versioning, and team collaboration features for exploratory analysis, model development, and sharing results. The product integrates with common data sources and provides ways to publish notebooks and interactive outputs for stakeholders. It is typically used by data teams that want a browser-based alternative to local IDE setups with built-in collaboration.
Real-time collaborative notebooks
Deepnote supports multi-user, real-time editing in notebooks, which reduces friction for pair analysis, code review, and shared debugging. Teams can centralize work in a single workspace rather than passing files between local environments. This collaboration model is closer to document-style coauthoring than many traditional notebook workflows. It can improve reproducibility when combined with shared environments and project organization.
Cloud execution and environments
Deepnote runs notebooks in managed cloud compute, which helps teams avoid local setup differences and dependency drift. Projects can standardize packages and runtime configuration across users. This is useful for onboarding and for teams that frequently switch machines or work remotely. It also enables running workloads without requiring each user to provision their own hardware.
Sharing and stakeholder access
Deepnote provides mechanisms to share notebooks and results with others, supporting review and consumption outside the core authoring team. This can reduce the need to export static files for every update. For analytics use cases, it helps bridge exploratory work and lightweight reporting. It is particularly relevant when stakeholders need to see code, narrative, and outputs together.
Not a full BI suite
Deepnote centers on notebooks and data science workflows rather than governed semantic layers, enterprise metric definitions, and broad self-service BI. Organizations that need standardized KPI catalogs, row-level security models, and large-scale dashboard distribution may require additional tooling. Dashboarding and reporting capabilities are more notebook-output oriented than dedicated BI platforms. This can limit adoption for business-only audiences.
Performance depends on compute
Interactive performance and cost depend on the selected cloud compute resources and how workloads are written. Large datasets or complex transformations may require careful optimization and external data processing systems. Users may still need a separate warehouse/lakehouse strategy for scalable querying. This can add architectural complexity compared with tools that tightly couple to a single analytics backend.
Governance and compliance fit varies
For regulated environments (including healthcare), teams often require strict controls around data access, auditability, and deployment boundaries. Deepnote can be part of a compliant workflow, but organizations may need to validate features such as access controls, logging, and data residency against internal requirements. Notebook-based sharing can introduce risks if permissions are not managed carefully. This may increase the burden on administrators compared with more locked-down reporting systems.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Free | Free (forever) | Up to 3 editors; Up to 5 projects; Limited Deepnote AI; Unlimited Basic machines (5 GB RAM, 2 vCPU); 7-day revision history. |
| Pro | Starting at $9 per month | Individual plan (introduced Feb 13, 2025); Unlimited Deepnote AI; Unlimited projects; Access to more CPUs & GPUs; Background code execution up to 24 hours; Includes ~$130/month of CPU & GPU compute. |
| Team | $39 per editor/month (billed yearly) | Everything in Free + Unlimited viewers & notebooks; Unlimited Deepnote AI; GPT-5 & Sonnet 4.5 access; Premium integrations; Background execution; Scheduled notebooks; 30-day revision history; $280/month CPU credit and $50/month GPU credit; discounted additional compute; 14-day trial available. |
| Enterprise | Custom pricing | Everything in Team + Custom contract & invoicing; Priority support; Dedicated success manager; Permission groups; SSO & directory sync; Private docker images; Bring-your-own-LLM; Audit logs; Single-tenancy; Volume machine discounts. |
Seller details
Deepnote, Inc.
San Francisco, CA, USA
2019
Private
https://deepnote.com/
https://x.com/deepnote
https://www.linkedin.com/company/deepnote/
