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Software · head to head

Jupyter vs SAS

Jupyter logo

Jupyter

Software

Interactive computing across all programming languages

From
Free
Rated
-
Full reviewWebsite
SAS logo

SAS

Software

Analytics, AI and data management software

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Jupyter notebook format makes version control and collaboration difficult with multiple contributors; SAS sAS publishes no rate, no minimum and no named cost driver; the how to buy page offers only a customized price quote based on your requirements and deployment preferences
  • They diverge on capability: Jupyter covers Interactive notebooks, SAS covers Statistical analysis.

Where they differ

Only the attributes on which Jupyter and SAS actually diverge.

Attributes where Jupyter and SAS differ
AttributeJupyterSAS
Pricing modelUnknownsubscription
PlatformsWeb, Cross-platform, Linux, macOS, WindowsLinux, Windows, Web
Founded20141976

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 Jupyter

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

Only in SAS

  • Statistical analysis
  • Machine learning
  • Forecasting
  • Text analytics
  • Optimization
  • Hadoop
  • Spark
  • Cloud platforms

Both cover

  • Python
  • R
  • Web support
  • Linux support
  • Windows support

What people use each for

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

Jupyter

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

SAS

  • Regulated statistical analysis and clinical reportingnot Jupyter
  • Enterprise data management, visualization and decisioning on one licensed platformnot Jupyter

Where each one falls short

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

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

SAS

  • SAS publishes no rate, no minimum and no named cost driver; the how to buy page offers only a customized price quote based on your requirements and deployment preferences
  • Most new and existing customers are routed through authorized resellers rather than buying direct
  • Cloud marketplace purchases require choosing between pay as you go and bring your own licence, each with different licensing terms

Pricing, plan by plan

Jupyter

Free

No published plan breakdown. See the Jupyter review.

SAS

Free
  • SAS OnDemand for AcademicsFree
    • Academic use
    • Core SAS
  • SAS ViyaFree
    • Full platform
    • Cloud-native
    • AI/ML

Which should you pick?

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

Choose SAS if

  • You need statistical analysis.
  • You want to start without paying.
  • You work on Linux, Windows, Web.
  • You also want machine learning.
SAS review

Questions people ask

Is Jupyter or SAS better?
Neither clearly leads. Jupyter starts at Free and SAS at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Jupyter or SAS?
Jupyter starts at Free and SAS at Free.
Does Jupyter or SAS run on more platforms?
Jupyter runs on Web, Cross-platform, Linux, macOS, Windows. SAS runs on Linux, Windows, Web.
Can I use Jupyter for free?
Both have a free tier, so you can try either at no cost before committing.
What is Jupyter best used for?
Jupyter is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what SAS is typically brought in for.
What can Jupyter do that SAS cannot?
Jupyter covers Interactive notebooks, Live code execution, Rich visualizations, Markdown documentation. SAS covers Statistical analysis, Machine learning, Forecasting, Text analytics. Both handle Python, R, Web support, Linux 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
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