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Machine Learning & Data Science · head to head

Minitab vs PyTorch

Minitab logo

Minitab

Machine Learning & Data Science

Statistical software for quality improvement

From
Free
Rated
-
Full reviewWebsite
PyTorch logo

PyTorch

Machine Learning & Data Science

Deep learning framework with dynamic computation graphs

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Minitab pricing is by quote only: the pricing page is an inquiry form and publishes no rate, no seat price and no minimum; PyTorch dynamic computation graph can be less efficient for production inference than static graphs
  • They diverge on capability: Minitab covers Statistical analysis, PyTorch covers Dynamic computation graphs.

Where they differ

Only the attributes on which Minitab and PyTorch actually diverge.

Attributes where Minitab and PyTorch differ
AttributeMinitabPyTorch
Pricing modelsubscriptionUnknown
PlatformsMac, Windows, WebLinux, Windows, macOS
Founded19722016

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).

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 Minitab

  • Statistical analysis
  • Quality tools
  • Regression analysis
  • Control charts
  • Design of experiments
  • Excel
  • Python
  • R

Only in PyTorch

  • Dynamic computation graphs
  • Automatic differentiation
  • GPU acceleration
  • Distributed training
  • TorchScript
  • TorchVision
  • TorchText
  • TorchAudio

Both cover

  • Mac support
  • Windows support

What people use each for

The jobs each tool is most often brought in to do.

Minitab

  • Statistical analysis and hypothesis testing for quality engineeringnot PyTorch
  • Six Sigma and process improvement studies with control chartsnot PyTorch
  • Design of experiments and capability analysisnot PyTorch

PyTorch

  • Machine learningnot Minitab
  • Data analysisnot Minitab
  • Model trainingnot Minitab
  • Predictive analyticsnot Minitab

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Minitab

  • Pricing is by quote only: the pricing page is an inquiry form and publishes no rate, no seat price and no minimum
  • Obtaining a price requires submitting contact details and waiting for a sales representative

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

Pricing, plan by plan

Minitab

Free
  • TrialFree
    • 7-day trial
    • Full features
  • Single User$29/month
    • Full Minitab
    • All features

PyTorch

Free

No published plan breakdown. See the PyTorch review.

Which should you pick?

Choose Minitab if

  • You need statistical analysis.
  • You want to start without paying.
  • You work on Mac, Windows, Web.
  • You also want quality tools.
Minitab review

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.
PyTorch review

Questions people ask

Is Minitab or PyTorch better?
Neither clearly leads. Minitab starts at Free and PyTorch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Minitab or PyTorch?
Minitab starts at Free and PyTorch at Free.
Does Minitab or PyTorch run on more platforms?
Minitab runs on Mac, Windows, Web. PyTorch runs on Linux, Windows, macOS.
Can I use Minitab for free?
Both have a free tier, so you can try either at no cost before committing.
What is Minitab best used for?
Minitab is most often used for statistical analysis and hypothesis testing for quality engineering, six sigma and process improvement studies with control charts, design of experiments and capability analysis. Of those, statistical analysis and hypothesis testing for quality engineering and six sigma and process improvement studies with control charts are not what PyTorch is typically brought in for.
What can Minitab do that PyTorch cannot?
Minitab covers Statistical analysis, Quality tools, Regression analysis, Control charts. PyTorch covers Dynamic computation graphs, Automatic differentiation, GPU acceleration, Distributed training. Both handle 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.

Source
PyTorch: 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.

Source
PyTorch: Can I use PyTorch for production deployments?

Yes. PyTorch provides graph-based execution, distributed training, mobile deployment, and quantization features to support production deployments.

Source
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