Cybersecurity · head to head
Infisical vs Keras

Infisical
Cybersecurity
Security infrastructure for developers and AI agents
- 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.
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.
SourceKeras: 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.
SourceInfisical: 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.
SourceKeras: 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.
SourceInfisical: 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.
SourceKeras: 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.
SourceKeras: 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.
SourceKeras: 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.
SourceRelated pages
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- Keras vs HashiCorp Vault
- Keras vs Chainguard
- Keras vs Authelia
- Keras vs Bitwarden
- Keras vs Delinea
- Keras vs Semgrep
- Keras vs Trivy
- Keras vs Grype
- Keras vs Ory Kratos
- Keras vs Legit Security
- Keras vs LogRhythm SIEM
- Keras vs Metasploit
- Keras vs MetricStream
- Keras vs Microsoft Defender
- Keras vs Ory
- Keras vs Microsoft Sentinel
- Keras vs PyTorch
- Keras vs scikit-learn
- Keras vs Python
- Keras vs Anaconda
- Keras vs AWS SageMaker
- Keras vs Azure Machine Learning
- Keras vs DataRobot
- Keras vs Jupyter
- Keras vs H2O.ai
- Keras vs Dataiku
- Keras vs Pinecone
- Keras vs Groq
- Keras vs Weka
- Keras vs BentoML
- Keras vs ClearML
- Keras vs Cohere
- Keras vs Dask
- Keras vs Fal AI

