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Cybersecurity · head to head

Chainguard vs Keras

Chainguard logo

Chainguard

Cybersecurity

Secure-by-default open source software with hardened container images and libraries

From
Free
Rated
-
Full reviewWebsite
Keras logo

Keras

Machine Learning

Deep learning API for humans

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Chainguard containers Catalog at 19,000 USD/year expensive for teams under 10 people; Keras limited customization compared to TensorFlow; advanced users may find constraints in complex model designs
  • They diverge on capability: Chainguard covers Hardened container images, Keras covers Sequential and Functional API.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Chainguard and Keras actually diverge.

Attributes where Chainguard and Keras differ
AttributeChainguardKeras
Pricing modelLicensing by artifact type and team sizeopen-source
PlatformsCloud, Container, VMPython, Google Colab, Jupyter
CategoryCybersecurityMachine Learning
FoundedUnknown2015

Identical on both: starting price (Free), free tier (Yes), 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 Chainguard

  • Hardened container images
  • CVE remediation SLA
  • SLSA L2/L3 builds
  • Sigstore signatures
  • SBOM generation
  • Language libraries
  • VM images
  • Artifact scanning

Only in Keras

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

What people use each for

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

Chainguard

  • Deploying hardened container images with minimal attack surfacenot Keras
  • Meeting supply chain security requirements for regulated industriesnot Keras
  • Reducing CVE exposure with contractual remediation guaranteesnot Keras
  • Building secure language packages with automatic backportsnot Keras
  • Verifying artifact provenance with Sigstore signaturesnot Keras

Keras

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

Where each one falls short

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

Chainguard

  • Containers Catalog at 19,000 USD/year expensive for teams under 10 people
  • Per-image pricing for containers requires custom quotes with no transparency
  • Free tier limited to 5 container images for testing
  • Libraries pricing by ecosystem and developer count lacks transparent per-developer cost
  • VM image catalog pricing opacity makes cost estimation difficult

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

Pricing, plan by plan

Chainguard

Free
  • Free TierFree
    • Five container images to test and deploy
  • Containers Per-Image$undefined/custom
    • Licensed by quantity and type
    • Base images, application images, AI/ML images, FIPS variants
    • Custom pricing per image
  • Containers Catalog$19000/year
    • For 10-person engineering teams
    • 2,000+ container images
    • Contractual CVE remediation SLAs
  • Libraries Licensing$undefined/custom
    • Licensed by ecosystem (Python, Java, JavaScript)
    • Licensed by developer count
    • Unlimited pulls with no metering

Keras

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

Which should you pick?

Choose Chainguard if

  • You need hardened container images.
  • You want to start without paying.
  • You work on Cloud, Container, VM.
  • You also want cve remediation sla.
Chainguard review

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

Questions people ask

Is Chainguard or Keras better?
Neither clearly leads. Chainguard starts at Free and Keras at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Chainguard or Keras?
Chainguard starts at Free and Keras at Free.
Does Chainguard or Keras run on more platforms?
Chainguard runs on Cloud, Container, VM. Keras runs on Python, Google Colab, Jupyter.
Can I use Chainguard for free?
Both have a free tier, so you can try either at no cost before committing.
What is Chainguard best used for?
Chainguard is most often used for deploying hardened container images with minimal attack surface, meeting supply chain security requirements for regulated industries, reducing cve exposure with contractual remediation guarantees, building secure language packages with automatic backports. Of those, deploying hardened container images with minimal attack surface and meeting supply chain security requirements for regulated industries are not what Keras is typically brought in for.
What can Chainguard do that Keras cannot?
Chainguard covers Hardened container images, CVE remediation SLA, SLSA L2/L3 builds, Sigstore signatures. Keras covers Sequential and Functional API, Pre-built neural network layers, Model training and evaluation, Transfer learning.

Answered from the vendors’ own pages

Chainguard: How much is the Chainguard Containers Catalog?

The Containers Catalog is 19,000 USD per year for 10-person engineering teams, providing access to 2,000+ hardened container images.

Source
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
Chainguard: What SLAs does Chainguard offer?

Chainguard provides contractual CVE remediation SLAs: 7 days for critical vulnerabilities, 14 days for high/medium/low severity, all with priority support.

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
Chainguard: Can I try Chainguard before purchasing?

Yes. The free tier includes five container images for testing and deployment, allowing hands-on evaluation.

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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