Business Intelligence · head to head
Deepnote vs Jupyter

Deepnote
Business Intelligence
Collaborative cloud workspace for data analytics and machine learning
- From
- Free
- Rated
- -

Jupyter
Machine Learning
Interactive computing across all programming languages
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Deepnote free plan limited to 3 editors, restricting team usage; Jupyter notebook format makes version control and collaboration difficult with multiple contributors
- They diverge on capability: Deepnote covers Collaborative notebooks, Jupyter covers Interactive notebooks.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Deepnote and Jupyter actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Deepnote
- Collaborative notebooks
- Interactive dashboards
- Data agent building
- Scheduled pipelines
- Model management
- 100+ integrations
- GPU support
- API deployment
Only in Jupyter
- Interactive notebooks
- Live code execution
- Rich visualizations
- Markdown documentation
- Multi-language kernels
- Python
- R
- Julia
What people use each for
The jobs each tool is most often brought in to do.
Deepnote
- Data exploration and analysis workflowsnot Jupyter
- Building interactive business intelligence dashboardsnot Jupyter
- Collaborative machine learning model developmentnot Jupyter
- Automating ETL and data pipeline orchestrationnot Jupyter
- Creating shareable reports without exportsnot Jupyter
Jupyter
- Machine learningnot Deepnote
- Data analysisnot Deepnote
- Model trainingnot Deepnote
- Predictive analyticsnot Deepnote
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Deepnote
- Free plan limited to 3 editors, restricting team usage
- Limited revision history on free plan compared to competitors
- Requires Team plan or higher for automated scheduling
- GPU support incurs additional charges beyond base subscription
- No mentioned offline capability
Jupyter
- Notebook format makes version control and collaboration difficult with multiple contributors
- Performance degrades with large datasets due to loading entire dataset into memory
- Debugging capabilities limited compared to traditional IDEs
- No paid support or commercial backing
Pricing, plan by plan
Deepnote
Free- FreeFree
- Up to 3 editors
- Up to 5 projects
- Limited Deepnote AI
- Team$39/month
- Unlimited viewers and notebooks
- Full Deepnote AI access
- Premium integrations
- Enterprise$null/custom
- Everything in Team plan
- Custom contracts
- Priority support
Jupyter
FreeNo published plan breakdown. See the Jupyter review.
Which should you pick?
Choose Deepnote if
- You need collaborative notebooks.
- You want to start without paying.
- You work on Web, API.
- You also want interactive dashboards.
Choose Jupyter if
- You need interactive notebooks.
- You want to start without paying.
- You work on Web, Cross-platform, Linux, macOS, Windows.
- You also want live code execution.
Questions people ask
- Is Deepnote or Jupyter better?
- Neither clearly leads. Deepnote starts at Free and Jupyter at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Deepnote or Jupyter?
- Deepnote starts at Free and Jupyter at Free.
- Does Deepnote or Jupyter run on more platforms?
- Deepnote runs on Web, API. Jupyter runs on Web, Cross-platform, Linux, macOS, Windows.
- Can I use Deepnote for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Deepnote best used for?
- Deepnote is most often used for data exploration and analysis workflows, building interactive business intelligence dashboards, collaborative machine learning model development, automating etl and data pipeline orchestration. Of those, data exploration and analysis workflows and building interactive business intelligence dashboards are not what Jupyter is typically brought in for.
- What can Deepnote do that Jupyter cannot?
- Deepnote covers Collaborative notebooks, Interactive dashboards, Data agent building, Scheduled pipelines. Jupyter covers Interactive notebooks, Live code execution, Rich visualizations, Markdown documentation.
Answered from the vendors’ own pages
Deepnote: What is included in the free Deepnote plan?
The free plan includes up to 3 editors, up to 5 projects, limited Deepnote AI, basic machines with 5 GB RAM, and 7-day revision history.
SourceJupyter: Is Jupyter free to use?
Yes, Jupyter is completely free and open-source under the BSD license. There are no paid plans or commercial support requirements.
SourceDeepnote: What data sources can Deepnote integrate with?
Deepnote integrates with 100+ data sources including major data warehouses like Snowflake, BigQuery, and Redshift, as well as BI platforms like Looker, Tableau, and Power BI.
SourceJupyter: What programming languages does Jupyter support?
Jupyter supports Python plus over 40 additional programming languages including R, Julia, Scala, and many others through different kernels.
SourceDeepnote: Does Deepnote support collaboration?
Yes, Deepnote provides real-time collaborative notebooks where multiple team members can work simultaneously. The Team plan allows unlimited viewers and notebooks.
SourceJupyter: What is JupyterLab?
JupyterLab is the successor to classic Jupyter Notebook, adding a file browser, multiple tabs, terminal access, and an extension ecosystem for enhanced functionality.
SourceDeepnote: What compliance certifications does Deepnote have?
Deepnote is SOC 2, HIPAA, GDPR, and CCPA compliant and offers role-based access control, single sign-on, and directory synchronization.
SourceRelated pages
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- Jupyter vs Ollama
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