Softwr

Machine Learning & Data Science · head to head

IBM SPSS vs Jupyter

IBM SPSS logo

IBM SPSS

Machine Learning & Data Science

Statistical analysis software for data science

From
Free
Rated
-
Full reviewWebsite
Jupyter logo

Jupyter

Machine Learning & Data Science

Interactive computing across all programming languages

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; Jupyter notebook format makes version control and collaboration difficult with multiple contributors
  • They diverge on capability: IBM SPSS covers Statistical analysis, Jupyter covers Interactive notebooks.

Where they differ

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

Attributes where IBM SPSS and Jupyter differ
AttributeIBM SPSSJupyter
Pricing modelsubscriptionUnknown
PlatformsLinux, Mac, WindowsWeb, Cross-platform, Linux, macOS, Windows
Founded19112014

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 IBM SPSS

  • Statistical analysis
  • Predictive modeling
  • Data visualization
  • Survey analysis
  • Decision trees
  • Excel
  • SQL databases

Only in Jupyter

  • Interactive notebooks
  • Live code execution
  • Rich visualizations
  • Markdown documentation
  • Multi-language kernels
  • Julia
  • Scala
  • 40+ languages

Both cover

  • Python
  • R
  • 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 Jupyter
  • Predictive modelling and forecasting without writing codenot Jupyter

Jupyter

  • 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

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

Pricing, plan by plan

IBM SPSS

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

Jupyter

Free

No published plan breakdown. See the Jupyter 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 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.
Jupyter review

Questions people ask

Is IBM SPSS or Jupyter better?
Neither clearly leads. IBM SPSS starts at Free and Jupyter at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, IBM SPSS or Jupyter?
IBM SPSS starts at Free and Jupyter at Free.
Does IBM SPSS or Jupyter run on more platforms?
IBM SPSS runs on Linux, Mac, Windows. Jupyter runs on Web, Cross-platform, Linux, macOS, Windows.
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 Jupyter is typically brought in for.
What can IBM SPSS do that Jupyter cannot?
IBM SPSS covers Statistical analysis, Predictive modeling, Data visualization, Survey analysis. Jupyter covers Interactive notebooks, Live code execution, Rich visualizations, Markdown documentation. Both handle Python, R, Linux support, Mac 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.

Source
Jupyter: 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.

Source
Jupyter: 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.

Source
ShareXLinkedInRedditWhatsAppEmail

Related pages

More on IBM SPSS

More on Jupyter

Keep looking

Other head to heads