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Machine Learning & Data Science · head to head

Keras vs MATLAB

Keras logo

Keras

Machine Learning & Data Science

Deep learning API for humans

From
Free
Rated
-
Full reviewWebsite
MATLAB logo

MATLAB

Machine Learning & Data Science

Programming and numeric computing platform

From
$99/month
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; MATLAB a standard individual licence is $940 a year, and it is annual rather than perpetual
  • They diverge on capability: Keras covers Sequential and Functional API, MATLAB covers Matrix computations.

Where they differ

Only the attributes on which Keras and MATLAB actually diverge.

Attributes where Keras and MATLAB differ
AttributeKerasMATLAB
Starting priceFree$99/month
Pricing modelopen-sourcesubscription
Free tierYesNo
PlatformsPython, Google Colab, JupyterLinux, Mac, Windows
Founded20151984

Identical on both: 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 Keras

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

Only in MATLAB

  • Matrix computations
  • Data visualization
  • Machine learning
  • Deep learning
  • Signal processing
  • Simulink
  • Python
  • C/C++

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 MATLAB
  • Data analysisnot MATLAB
  • Model trainingnot MATLAB
  • Predictive analyticsnot MATLAB

MATLAB

  • Numerical computing, simulation and algorithm developmentnot Keras
  • Engineering and scientific modelling with Simulinknot 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

MATLAB

  • A standard individual licence is $940 a year, and it is annual rather than perpetual
  • Add on toolboxes are bought separately through the web store rather than being included
  • No price is displayed for the academic, student, home or startup licences, each of which requires a quote
  • Eligibility rather than price separates most tiers, so a commercial user has one option

Pricing, plan by plan

Keras

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

MATLAB

$99/month
  • Home$149/perpetual
    • Personal use
    • Core MATLAB
  • Standard$2350/perpetual
    • Commercial use
    • Full features

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 MATLAB if

  • You need matrix computations.
  • You work on Linux, Mac, Windows.
  • You also want data visualization.
MATLAB review

Questions people ask

Is Keras or MATLAB better?
Neither clearly leads. Keras starts at Free and MATLAB at $99/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Keras or MATLAB?
Keras has a free tier; the other does not. Paid plans start at Free for Keras and $99/month for MATLAB.
Does Keras or MATLAB run on more platforms?
Keras runs on Python, Google Colab, Jupyter. MATLAB runs on Linux, Mac, Windows.
Can I use Keras for free?
Yes. Keras has a free tier, so you can try it without paying. MATLAB starts at $99/month.
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 MATLAB is typically brought in for.
What can Keras do that MATLAB cannot?
Keras covers Sequential and Functional API, Pre-built neural network layers, Model training and evaluation, Transfer learning. MATLAB covers Matrix computations, Data visualization, Machine learning, Deep learning. 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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