Machine Learning · head to head
PyTorch vs Stata

PyTorch
Machine Learning
Deep learning framework with dynamic computation graphs
- From
- Free
- Rated
- -

Stata
Machine Learning
Data science software for research professionals
- From
- $48/year
- Rated
- -
The short version
- Only PyTorch has a free tier, so it costs nothing to try first.
- Each has a real cost: PyTorch dynamic computation graph can be less efficient for production inference than static graphs; Stata the entry Stata/BE edition is capped at 2,048 variables and 798 independent variables in a model
- They diverge on capability: PyTorch covers Dynamic computation graphs, Stata covers Statistical analysis.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which PyTorch and Stata actually diverge.
Identical on both: user rating (Not yet rated), category (Machine Learning).
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 PyTorch
- Dynamic computation graphs
- Automatic differentiation
- GPU acceleration
- Distributed training
- TorchScript
- TorchVision
- TorchText
- TorchAudio
Only in Stata
- Statistical analysis
- Data management
- Graphics
- Econometrics
- Survey analysis
- Python
- ODBC
- Excel
Both cover
- Linux support
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
PyTorch
- Machine learningnot Stata
- Data analysisnot Stata
- Model trainingnot Stata
- Predictive analyticsnot Stata
Stata
- Statistical analysis and data analysisnot PyTorch
- Econometric modelingnot PyTorch
- Biostatistics and epidemiologynot PyTorch
- Academic and research data analysisnot PyTorch
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
PyTorch
- Dynamic computation graph can be less efficient for production inference than static graphs
- Requires more manual code for distributed training compared to some alternatives
- Documentation focused heavily on research use cases rather than production deployment
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
PyTorch
FreeNo published plan breakdown. See the PyTorch 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 PyTorch if
- You need dynamic computation graphs.
- You want to start without paying.
- You work on Linux, Windows, macOS.
- You also want automatic differentiation.
Choose Stata if
- You need statistical analysis.
- You work on Linux, Mac, Windows.
- You also want data management.
Questions people ask
- Is PyTorch or Stata better?
- Neither clearly leads. PyTorch 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, PyTorch or Stata?
- PyTorch has a free tier; the other does not. Paid plans start at Free for PyTorch and $48/year for Stata.
- Does PyTorch or Stata run on more platforms?
- PyTorch runs on Linux, Windows, macOS. Stata runs on Linux, Mac, Windows.
- Can I use PyTorch for free?
- Yes. PyTorch has a free tier, so you can try it without paying. Stata starts at $48/year.
- What is PyTorch best used for?
- PyTorch 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 PyTorch do that Stata cannot?
- PyTorch covers Dynamic computation graphs, Automatic differentiation, GPU acceleration, Distributed training. Stata covers Statistical analysis, Data management, Graphics, Econometrics. Both handle Linux support, Mac support, Windows support.
Answered from the vendors’ own pages
PyTorch: Is PyTorch free and open source?
Yes. PyTorch is an open source machine learning framework that is completely free to use. It was originally created and open-sourced by Facebook (now Meta) in 2016.
SourceStata: How much does Stata cost?
Stata does not publish specific pricing on its website. Customers must use the 'Order Stata' or 'Request a quote' functions to obtain pricing. StataNow is available as a subscription option, but specific monthly or annual costs are not displayed publicly.
SourcePyTorch: What platforms does PyTorch support?
PyTorch supports Linux, Windows, and macOS. It provides strong GPU acceleration through CUDA and other backends for high-performance computing.
SourceStata: What are the differences between Stata editions?
Stata offers multiple editions including Stata/BE and Stata/MP, with different capabilities and performance characteristics. Edition selection affects pricing, but specific comparisons and costs require requesting a quote.
SourcePyTorch: Can I use PyTorch for production deployments?
Yes. PyTorch provides graph-based execution, distributed training, mobile deployment, and quantization features to support production deployments.
SourceStata: Does Stata offer a subscription model?
Yes, StataNow is offered as a subscription option that delivers new features immediately upon release. However, specific pricing for StataNow subscriptions is not published on the website.
SourceRelated pages
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