Softwr

Machine Learning & Data Science · head to head

Keras vs Looker

Keras logo

Keras

Machine Learning & Data Science

Deep learning API for humans

From
Free
Rated
-
Full reviewWebsite
Looker logo

Looker

Spreadsheet & Data

Modern business intelligence platform by Google

From
On request
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; Looker requires annual commitment with no month-to-month billing option
  • They diverge on capability: Keras covers Sequential and Functional API, Looker covers LookML Data Modeling.

Where they differ

Only the attributes on which Keras and Looker actually diverge.

Attributes where Keras and Looker differ
AttributeKerasLooker
Starting priceFreeOn request
Pricing modelopen-sourceUnknown
Free tierYesNo
PlatformsPython, Google Colab, JupyterWeb, Cloud (Google Cloud Platform)
CategoryMachine Learning & Data ScienceSpreadsheet & Data
Founded20152008

Identical on both: user rating (Not yet rated).

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 Looker

  • LookML Data Modeling
  • Embedded Analytics
  • API Access
  • Version Control
  • Data Actions
  • BigQuery
  • Snowflake
  • Redshift

What people use each for

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

Keras

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

Looker

  • Business intelligence and interactive dashboards for data-driven decision makingnot Keras
  • Embedded analytics for integrating BI capabilities into third-party applicationsnot 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

Looker

  • Requires annual commitment with no month-to-month billing option
  • Conversational analytics will incur token overage charges ($3.00 per 1M input tokens, $20.00 per 1M output tokens) after October 1, 2026

Pricing, plan by plan

Keras

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

Looker

On request

No published plan breakdown. See the Looker review.

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 Looker if

  • You need lookml data modeling.
  • You work on Web, Cloud (Google Cloud Platform).
  • You also want embedded analytics.
Looker review

Questions people ask

Is Keras or Looker better?
Neither clearly leads. Keras starts at Free and Looker at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Keras or Looker?
Keras has a free tier; the other does not. Paid plans start at Free for Keras and On request for Looker.
Does Keras or Looker run on more platforms?
Keras runs on Python, Google Colab, Jupyter. Looker runs on Web, Cloud (Google Cloud Platform).
Can I use Keras for free?
Yes. Keras has a free tier, so you can try it without paying. Looker starts at On request.
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 Looker is typically brought in for.
What can Keras do that Looker cannot?
Keras covers Sequential and Functional API, Pre-built neural network layers, Model training and evaluation, Transfer learning. Looker covers LookML Data Modeling, Embedded Analytics, API Access, Version Control.

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
ShareXLinkedInRedditWhatsAppEmail

Related pages

More on Keras

More on Looker

Keep looking

Other head to heads