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Keras vs Stata

Keras logo

Keras

Software

Deep learning API for humans

From
Free
Rated
-
Full reviewWebsite
Stata logo

Stata

Software

Data science software for research professionals

From
$48/year
Rated
-
Full reviewWebsite

The short version

  • Only Keras has a free tier, so it costs nothing to try first.
  • Each has a real cost: Keras limited customization compared to TensorFlow; advanced users may find constraints in complex model designs; Stata the entry Stata/BE edition is capped at 2,048 variables and 798 independent variables in a model
  • They diverge on capability: Keras covers Sequential and Functional API, Stata covers Statistical analysis.

Where they differ

Only the attributes on which Keras and Stata actually diverge.

Attributes where Keras and Stata differ
AttributeKerasStata
Starting priceFree$48/year
Pricing modelopen-sourcesubscription
Free tierYesNo
PlatformsPython, Google Colab, JupyterLinux, Mac, Windows
Founded20151985

Identical on both: 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 Keras

  • Sequential and Functional API
  • Pre-built neural network layers
  • Model training and evaluation
  • Transfer learning
  • Model serialization
  • TensorFlow
  • JAX
  • PyTorch

Only in Stata

  • Statistical analysis
  • Data management
  • Graphics
  • Econometrics
  • Survey analysis
  • Python
  • ODBC
  • Excel

Both cover

  • Linux support
  • Mac support
  • Windows support

What people use each for

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

Keras

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

Stata

  • Statistical analysis and econometrics on panel and survey datanot Keras
  • Reproducible research with do files and logsnot Keras
  • Teaching quantitative methods to studentsnot Keras

Where each one falls short

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

Keras

  • Limited customization compared to TensorFlow; advanced users may find constraints in complex model designs
  • Error messages can be vague and unhelpful, making debugging challenging
  • Smaller ecosystem and fewer pre-trained models than TensorFlow or PyTorch

Stata

  • The entry Stata/BE edition is capped at 2,048 variables and 798 independent variables in a model
  • Raising the variable limit to 32,767 requires Stata/SE and 120,000 requires Stata/MP
  • Stata/MP is licensed by core count, so 2 core and 4 core licences are priced separately
  • Student licences require proof of enrolment at a degree granting institution
  • Stata/MP is not sold on a 6 month student term
  • Perpetual student licences cost several times the annual price, for example $298 against $94 for Stata/BE

Pricing, plan by plan

Keras

Free
  • Open SourceFree
    • High-level API
    • Pre-built layers
    • Model serialization

Stata

$48/year
  • Stata/BE$48/year
    • Basic edition
    • Core features
  • Stata/SE$295/year
    • Standard edition
    • Larger datasets

Which should you pick?

Choose Keras if

  • You need sequential and functional api.
  • You want to start without paying.
  • You work on Python, Google Colab, Jupyter.
  • You also want pre-built neural network layers.
Keras review

Choose Stata if

  • You need statistical analysis.
  • You work on Linux, Mac, Windows.
  • You also want data management.
Stata review

Questions people ask

Is Keras or Stata better?
Neither clearly leads. Keras starts at Free and Stata at $48/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Keras or Stata?
Keras has a free tier; the other does not. Paid plans start at Free for Keras and $48/year for Stata.
Does Keras or Stata run on more platforms?
Keras runs on Python, Google Colab, Jupyter. Stata runs on Linux, Mac, Windows.
Can I use Keras for free?
Yes. Keras has a free tier, so you can try it without paying. Stata starts at $48/year.
What is Keras best used for?
Keras is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Stata is typically brought in for.
What can Keras do that Stata cannot?
Keras covers Sequential and Functional API, Pre-built neural network layers, Model training and evaluation, Transfer learning. Stata covers Statistical analysis, Data management, Graphics, Econometrics. Both handle Linux support, Mac support, Windows support.

Answered from the vendors’ own pages

Keras: What is Keras?

Keras is a high-level deep learning API built on top of TensorFlow that simplifies building and training neural networks. Keras 3 supports multiple backends including TensorFlow, PyTorch, and JAX, making it backend-agnostic.

Source
Keras: What model architectures does Keras support?

Keras supports the Sequential model for linear stacks of layers, the Functional API for arbitrary graph architectures, and model subclassing for custom implementations. All approaches provide access to layers, optimizers, metrics, and callbacks.

Source
Keras: Can Keras models run on TPUs and GPUs?

Yes, Keras models can run on TPU Pods or large GPU clusters, be exported to run in browsers or on mobile devices, and be served via web APIs.

Source
Keras: Does Keras offer pre-trained models?

Yes, Keras provides pre-trained models through KerasHub and Keras Applications for common deep learning tasks like image classification, object detection, and NLP.

Source
Keras: Who should use Keras?

Keras is ideal for beginners and rapid prototyping due to its simplicity and user-friendly interface. Advanced users and production deployments may benefit more from lower-level frameworks like TensorFlow or PyTorch for greater customization.

Source
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