Software · head to head
Jupyter vs Stata

Jupyter
Software
Interactive computing across all programming languages
- From
- Free
- Rated
- -
The short version
- Only Jupyter has a free tier, so it costs nothing to try first.
- Each has a real cost: Jupyter notebook format makes version control and collaboration difficult with multiple contributors; Stata the entry Stata/BE edition is capped at 2,048 variables and 798 independent variables in a model
- They diverge on capability: Jupyter covers Interactive notebooks, Stata covers Statistical analysis.
Where they differ
Only the attributes on which Jupyter and Stata actually diverge.
Identical on both: user rating (Not yet rated), category (Unknown).
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 Jupyter
- Interactive notebooks
- Live code execution
- Rich visualizations
- Markdown documentation
- Multi-language kernels
- R
- Julia
- Scala
Only in Stata
- Statistical analysis
- Data management
- Graphics
- Econometrics
- Survey analysis
- ODBC
- Excel
- SAS
Both cover
- Python
- Linux support
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
Jupyter
- Machine learningnot Stata
- Data analysisnot Stata
- Model trainingnot Stata
- Predictive analyticsnot Stata
Stata
- Statistical analysis and econometrics on panel and survey datanot Jupyter
- Reproducible research with do files and logsnot Jupyter
- Teaching quantitative methods to studentsnot Jupyter
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Stata
- The entry Stata/BE edition is capped at 2,048 variables and 798 independent variables in a model
- Raising the variable limit to 32,767 requires Stata/SE and 120,000 requires Stata/MP
- Stata/MP is licensed by core count, so 2 core and 4 core licences are priced separately
- Student licences require proof of enrolment at a degree granting institution
- Stata/MP is not sold on a 6 month student term
- Perpetual student licences cost several times the annual price, for example $298 against $94 for Stata/BE
Pricing, plan by plan
Jupyter
FreeNo published plan breakdown. See the Jupyter review.
Stata
$48/year- Stata/BE$48/year
- Basic edition
- Core features
- Stata/SE$295/year
- Standard edition
- Larger datasets
Which should you pick?
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.
Choose Stata if
- You need statistical analysis.
- You work on Linux, Mac, Windows.
- You also want data management.
Questions people ask
- Is Jupyter or Stata better?
- Neither clearly leads. Jupyter starts at Free and Stata at $48/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Jupyter or Stata?
- Jupyter has a free tier; the other does not. Paid plans start at Free for Jupyter and $48/year for Stata.
- Does Jupyter or Stata run on more platforms?
- Jupyter runs on Web, Cross-platform, Linux, macOS, Windows. Stata runs on Linux, Mac, Windows.
- Can I use Jupyter for free?
- Yes. Jupyter has a free tier, so you can try it without paying. Stata starts at $48/year.
- What is Jupyter best used for?
- Jupyter is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Stata is typically brought in for.
- What can Jupyter do that Stata cannot?
- Jupyter covers Interactive notebooks, Live code execution, Rich visualizations, Markdown documentation. Stata covers Statistical analysis, Data management, Graphics, Econometrics. Both handle Python, Linux support, Mac support, Windows support.
Answered from the vendors’ own pages
Jupyter: 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.
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.
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.
SourceRelated pages
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