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Software · head to head

Keras vs Okta

Keras logo

Keras

Software

Deep learning API for humans

From
Free
Rated
-
Full reviewWebsite
Okta logo

Okta

Software

The identity platform for builders

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Keras limited customization compared to TensorFlow; advanced users may find constraints in complex model designs; Okta requires $1,500 annual minimum contract
  • They diverge on capability: Keras covers Sequential and Functional API, Okta covers Single sign-on (SSO).

Where they differ

Only the attributes on which Keras and Okta actually diverge.

Attributes where Keras and Okta differ
AttributeKerasOkta
Pricing modelopen-sourceUnknown
PlatformsPython, Google Colab, JupyterWeb, SaaS
Founded20152009

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).

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 Okta

  • Single sign-on (SSO)
  • Multi-factor authentication
  • Lifecycle management
  • Universal directory
  • API access management
  • B2B integration
  • Passwordless authentication
  • Adaptive MFA

What people use each for

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

Keras

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

Okta

  • Employee SSOnot Keras
  • Customer identitynot Keras
  • B2B integrationnot Keras
  • Zero Trust securitynot Keras
  • Compliancenot 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

Okta

  • Requires $1,500 annual minimum contract
  • Admin-only MFA can be vulnerable to push notification fatigue attacks
  • Implementation requires significant services and integration fees in year one

Pricing, plan by plan

Keras

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

Okta

Free
  • Starter Suite$6/user/month
    • SSO
    • MFA
    • Universal Directory
  • Core Essentials Suite$14/user/month
    • Adaptive MFA
    • Privileged Access
    • Lifecycle Management
  • Essentials Suite$17/user/month
    • Same as Core Essentials
    • Most popular
  • Professional Suite$null/custom
    • Device Access
    • Identity Security Posture
    • Threat Protection

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 Okta if

  • You need single sign-on (sso).
  • You want to start without paying.
  • You work on Web, SaaS.
  • You also want multi-factor authentication.
Okta review

Questions people ask

Is Keras or Okta better?
Neither clearly leads. Keras starts at Free and Okta at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Keras or Okta?
Keras starts at Free and Okta at Free.
Does Keras or Okta run on more platforms?
Keras runs on Python, Google Colab, Jupyter. Okta runs on Web, SaaS.
Can I use Keras for free?
Both have a free tier, so you can try either at no cost before committing.
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 Okta is typically brought in for.
What can Keras do that Okta cannot?
Keras covers Sequential and Functional API, Pre-built neural network layers, Model training and evaluation, Transfer learning. Okta covers Single sign-on (SSO), Multi-factor authentication, Lifecycle management, Universal directory.

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
Okta: What is the minimum contract for Okta Workforce Identity?

Okta requires a $1,500 annual minimum contract for Workforce Identity plans. Pricing starts at $6 per user per month (Starter) and ranges to $17 per user per month (Essentials), billed annually.

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
Okta: Does Okta offer a free trial?

Yes, Okta provides a 30-day free trial so customers can explore all product capabilities before committing to a paid plan.

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
Okta: How many pre-built integrations does Okta support?

Okta offers over 7,000 pre-built integrations with popular enterprise applications including Salesforce, Slack, Workday, Box, Confluence, and Zendesk.

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
Okta: What security features does Okta provide for admins?

Okta provides multi-factor authentication, adaptive MFA, single logout, and identity threat detection and response. However, only 94% of Okta customers have MFA enabled for administrators.

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
Okta: Can Okta integrate with on-premises directories?

Yes, Okta's Universal Directory and lifecycle management support cloud and on-premises identity sources, including Active Directory and LDAP.

Source
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