Project Jupyter
Worth it
Confidence: Medium
Buy if your team writes code and wants the free, industry-standard notebook environment.
Comparison
Project Jupyter vs Deepnote: Collaborative analytics & data science notebook
Project Jupyter lands on Worth it, and Deepnote: Collaborative analytics & data science notebook lands on Depends.
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.
| Compare | Project Jupyter | Deepnote: Collaborative analytics & data science notebook |
|---|---|---|
| Verdict | Worth it | Depends |
| Best for | Data science and ML teams | Data science teams collaborating on notebooks |
| Who it's not for | Non-technical teams wanting point-and-click BI | Solo analysts fine with plain local Jupyter |
| Privacy | Volunteer-run security subproject tracks CVEs under vendor ID 15653; no bug bounty, no vendor attestations; third-party grade D (32/100).¹ | No known public vulnerabilities found in the sources reviewed. |
| Support quality | Volunteers with limited resources; no vendor | No support evidence in sources |
| Public sentiment | Academic and industry sources describe Jupyter as the most widely used notebook platform for data science, machine learning, and teaching.⁷ | Users praise fast setup and Jupyter-compatible collaboration; the main complaint is cloud access to behind-VPN data. |
| Biggest gotcha | Jupyter will not fill vendor risk questionnaires . compliance-heavy procurement stalls without a commercial wrapper¹ | Your data must be reachable from Deepnote's cloud; VPN-only warehouses won't connect |
Pick Project Jupyter when
- Data science and ML teams
- Researchers and educators
- Reproducible analysis write-ups
- Python, R, and Julia users
When Project Jupyter is not a fit
- Non-technical teams wanting point-and-click BI
- Procurement-heavy orgs needing SOC2 and vendor contracts
- Anyone expecting paid support, SLAs, or a vendor to sue
- Small teams that just need a spreadsheet with charts
Pick Deepnote: Collaborative analytics & data science notebook when
- Data science teams collaborating on notebooks
- Jupyter users tired of sharing friction
- Mixed Python and SQL analytics teams
- Regulated teams needing SOC 2/HIPAA
When Deepnote: Collaborative analytics & data science notebook is not a fit
- Solo analysts fine with plain local Jupyter
- Teams whose data lives behind VPNs
- Non-technical users wanting drag-and-drop BI dashboards
- Guess: orgs needing self-hosted/on-prem notebooks
Sources
- Project Jupyter Security pagejupyter.orgsecurity
- Project Jupyter | Homejupyter.orgofficial
official
- What is Jupyter? (gosmarter.ai)gosmarter.aiofficial
- Project Jupyter (2i2c)2i2c.orgofficial
- Project Jupyter (GitHub)github.comofficial
review
- Project Jupyter (PyData)pydata.orgreview
review
- Spotlighting Jupyter Notebook at UMDitsupport.umd.edureview
- Jupyter Open Source Security: Grade D (saasposture)saasposture.comsecurity
- Project Jupyter Vendor Risk Report (UpGuard)upguard.comsecurity
- How to Handle Secrets in Jupyter Notebooks (GitGuardian)blog.gitguardian.comsecurity
- Linux Foundation Forms the Jupyter Foundationlinuxfoundation.orgnews
- Brian Granger on Project Jupyter in the Age of AIthenewstack.ionews
- Project Jupyter (Wikipedia)en.wikipedia.orgnews