Comparison

Deepnote: Collaborative analytics & data science notebook vs Project Jupyter

Deepnote: Collaborative analytics & data science notebook lands on Depends, and Project Jupyter lands on Worth it.

Deepnote: Collaborative analytics & data science notebook

Depends

Confidence: Medium

Buy if your data team shares Python/SQL notebooks and your warehouse is cloud-reachable . start on the free tier.

Worth it

Confidence: Medium

Buy if your team writes code and wants the free, industry-standard notebook environment.

Deepnote: Collaborative analytics & data science notebook versus Project Jupyter
Compare	Deepnote: Collaborative analytics & data science notebook	Project Jupyter
Verdict	Depends	Worth it
Best for	Data science teams collaborating on notebooks	Data science and ML teams
Who it's not for	Solo analysts fine with plain local Jupyter	Non-technical teams wanting point-and-click BI
Privacy	No known public vulnerabilities found in the sources reviewed.^²	Volunteer-run security subproject tracks CVEs under vendor ID 15653; no bug bounty, no vendor attestations; third-party grade D (32/100).^⁹
Support quality	No support evidence in sources	Volunteers with limited resources; no vendor
Public sentiment	Users praise fast setup and Jupyter-compatible collaboration; the main complaint is cloud access to behind-VPN data.^⁵	Academic and industry sources describe Jupyter as the most widely used notebook platform for data science, machine learning, and teaching.¹⁵
Biggest gotcha	Your data must be reachable from Deepnote's cloud; VPN-only warehouses won't connect^⁵	Jupyter will not fill vendor risk questionnaires . compliance-heavy procurement stalls without a commercial wrapper^⁹