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Cybersecurity · head to head

Infisical vs Keras

Infisical logo

Infisical

Cybersecurity

Security infrastructure for developers and AI agents

From
Free
Rated
-
Keras logo

Keras

Machine Learning

Deep learning API for humans

From
Free
Rated
-

The short version

  • Each has a real cost: Infisical free tier limited to 5 identities, suitable only for small teams or evaluation; Keras limited customization compared to TensorFlow; advanced users may find constraints in complex model designs
  • They diverge on capability: Infisical covers Secrets management, 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 Infisical and Keras actually diverge.

Attributes where Infisical and Keras differ
AttributeInfisicalKeras
Pricing modelUnknownopen-source
PlatformsWeb, CLI, Cloud, Self-HostedPython, 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 Infisical

  • Secrets management
  • Certificate management
  • Privileged access management
  • Secret versioning
  • Dynamic secrets
  • SAML SSO
  • Open-source core
  • Secrets 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.

Infisical

  • Managing secrets across Kubernetes clustersnot Keras
  • Automating certificate lifecycle for internal PKInot Keras
  • Providing privileged database access with audit trailsnot Keras
  • Securing credentials for AI agents at runtimenot Keras

Keras

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

Where each one falls short

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

Infisical

  • Free tier limited to 5 identities, suitable only for small teams or evaluation
  • Pricing tiers are per-identity, which scales costs with team size
  • Certificate management requires Enterprise plan for advanced features like wildcards
  • Privileged access tier is separate billing from secrets management

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

Infisical

Free
  • FreeFree
    • 5 identities
    • Unlimited projects
    • 3 environments
  • Pro - Secrets$20/month
    • Per-identity pricing
    • Unlimited identities
    • SAML SSO
  • Pro - Secrets (Annual)$20/year
    • Annual discount available
    • Unlimited identities
    • SAML SSO
  • Advanced - Secrets$40/month
    • Per-identity pricing
    • Dynamic secrets
    • Gateways

Keras

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

Which should you pick?

Choose Infisical if

  • You need secrets management.
  • You want to start without paying.
  • You work on Web, CLI, Cloud, Self-Hosted.
  • You also want certificate management.

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.

Questions people ask

Is Infisical or Keras better?
Neither clearly leads. Infisical 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, Infisical or Keras?
Infisical starts at Free and Keras at Free.
Does Infisical or Keras run on more platforms?
Infisical runs on Web, CLI, Cloud, Self-Hosted. Keras runs on Python, Google Colab, Jupyter.
Can I use Infisical for free?
Both have a free tier, so you can try either at no cost before committing.
What is Infisical best used for?
Infisical is most often used for managing secrets across kubernetes clusters, automating certificate lifecycle for internal pki, providing privileged database access with audit trails, securing credentials for ai agents at runtime. Of those, managing secrets across kubernetes clusters and automating certificate lifecycle for internal pki are not what Keras is typically brought in for.
What can Infisical do that Keras cannot?
Infisical covers Secrets management, Certificate management, Privileged access management, Secret versioning. Keras covers Sequential and Functional API, Pre-built neural network layers, Model training and evaluation, Transfer learning.

Answered from the vendors’ own pages

Infisical: How is pricing calculated for Secrets Management?

Pricing is per-identity per month. Free tier includes 5 identities. Pro tier is $20/identity/month, Advanced is $40/identity/month. All pricing in USD.

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
Infisical: Can I self-host Infisical?

Yes, Infisical's core is open-source under the MIT license and can be self-hosted. The managed cloud service is also available with additional features.

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
Infisical: What is included in the Enterprise plan?

Enterprise plan includes SCIM, LDAP, approval workflows, external KMS/HSM support, and 99.99% SLA. Pricing is custom and determined by annual commitment.

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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