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Machine Learning · head to head

IBM SPSS vs Python

IBM SPSS logo

IBM SPSS

Machine Learning

Statistical analysis software for data science

From
Free
Rated
-
Full reviewWebsite
Python logo

Python

Machine Learning

Programming language that lets you work quickly

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; Python no built-in GUI module in standard library; requires third-party libraries for desktop applications
  • They diverge on capability: IBM SPSS covers Statistical analysis, Python covers High-level syntax.

Where they differ

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

Attributes where IBM SPSS and Python differ
AttributeIBM SPSSPython
Pricing modelsubscriptionopen-source
PlatformsLinux, Mac, WindowsWindows, macOS, Linux, Android, iOS
Founded19111991

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

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

Only in Python

  • High-level syntax
  • Interpreted execution
  • Object-oriented programming
  • Dynamic typing
  • Extensive standard library
  • Package management (pip)
  • Interactive shell
  • Cross-platform compatibility

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 Python
  • Predictive modelling and forecasting without writing codenot Python

Python

  • General-purpose programmingnot IBM SPSS
  • Data analysisnot IBM SPSS
  • Web developmentnot IBM SPSS
  • Automationnot IBM SPSS
  • Machine learningnot 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

Python

  • No built-in GUI module in standard library; requires third-party libraries for desktop applications
  • Global Interpreter Lock (GIL) limits true multithreading for CPU-bound operations

Pricing, plan by plan

IBM SPSS

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

Python

Free

No published plan breakdown. See the Python 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 Python if

  • You need high-level syntax.
  • You want to start without paying.
  • You work on Windows, macOS, Linux, Android, iOS.
  • You also want interpreted execution.
Python review

Questions people ask

Is IBM SPSS or Python better?
Neither clearly leads. IBM SPSS starts at Free and Python at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, IBM SPSS or Python?
IBM SPSS starts at Free and Python at Free.
Does IBM SPSS or Python run on more platforms?
IBM SPSS runs on Linux, Mac, Windows. Python runs on Windows, macOS, Linux, Android, iOS.
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 Python is typically brought in for.
What can IBM SPSS do that Python cannot?
IBM SPSS covers Statistical analysis, Predictive modeling, Data visualization, Survey analysis. Python covers High-level syntax, Interpreted execution, Object-oriented programming, Dynamic typing.

Answered from the vendors’ own pages

Python: How much does Python cost?

Python is free and open source. The Python Software Foundation accepts voluntary donations and memberships but does not charge for using Python itself.

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