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IBM SPSS vs PyTorch

IBM SPSS logo

IBM SPSS

Software

Statistical analysis software for data science

From
Free
Rated
-
Full reviewWebsite
PyTorch logo

PyTorch

Software

Deep learning framework with dynamic computation graphs

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: IBM SPSS add-on packages are priced separately from the base subscription, and the promotional 45% discount on them excludes renewals; PyTorch dynamic computation graph can be less efficient for production inference than static graphs
  • They diverge on capability: IBM SPSS covers Statistical analysis, PyTorch covers Dynamic computation graphs.

Where they differ

Only the attributes on which IBM SPSS and PyTorch actually diverge.

Attributes where IBM SPSS and PyTorch differ
AttributeIBM SPSSPyTorch
Pricing modelsubscriptionUnknown
PlatformsLinux, Mac, WindowsLinux, Windows, macOS
Founded19112016

Identical on both: starting price (Free), free tier (Yes), 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 IBM SPSS

  • Statistical analysis
  • Predictive modeling
  • Data visualization
  • Survey analysis
  • Decision trees
  • Python
  • R
  • Excel

Only in PyTorch

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

Both cover

  • Linux support
  • Mac support
  • Windows support

What people use each for

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

IBM SPSS

  • Statistical testing and regression analysis for academic and market researchnot PyTorch
  • Predictive modelling and forecasting without writing codenot PyTorch

PyTorch

  • Machine learningnot IBM SPSS
  • Data analysisnot IBM SPSS
  • Model trainingnot IBM SPSS
  • Predictive analyticsnot IBM SPSS

Where each one falls short

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

IBM SPSS

  • Add-on packages are priced separately from the base subscription, and the promotional 45% discount on them excludes renewals
  • Subscription cost renews at the then current price at the end of the first year, so the advertised rate applies to the first term only
  • Prices shown are described by IBM as indicative, vary by country and exclude applicable taxes and duties
  • Extended access periods of 12 months or more are handled as tailored pricing rather than a published rate
  • Advanced statistics, custom tables, decision trees and forecasting are separate add-ons rather than part of the base product

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

IBM SPSS

Free
  • TrialFree
    • 14-day trial
    • Full features
  • Base$99/month
    • Core statistics
    • Data management

PyTorch

Free

No published plan breakdown. See the PyTorch review.

Which should you pick?

Choose IBM SPSS if

  • You need statistical analysis.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want predictive modeling.
IBM SPSS 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 IBM SPSS or PyTorch better?
Neither clearly leads. IBM SPSS 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, IBM SPSS or PyTorch?
IBM SPSS starts at Free and PyTorch at Free.
Does IBM SPSS or PyTorch run on more platforms?
IBM SPSS runs on Linux, Mac, Windows. PyTorch runs on Linux, Windows, macOS.
Can I use IBM SPSS for free?
Both have a free tier, so you can try either at no cost before committing.
What is IBM SPSS best used for?
IBM SPSS is most often used for statistical testing and regression analysis for academic and market research, predictive modelling and forecasting without writing code. Of those, statistical testing and regression analysis for academic and market research and predictive modelling and forecasting without writing code are not what PyTorch is typically brought in for.
What can IBM SPSS do that PyTorch cannot?
IBM SPSS covers Statistical analysis, Predictive modeling, Data visualization, Survey analysis. PyTorch covers Dynamic computation graphs, Automatic differentiation, GPU acceleration, Distributed training. 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.

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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