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Okta vs scikit-learn

Okta logo

Okta

Software

The identity platform for builders

From
Free
Rated
-
Full reviewWebsite
S

scikit-learn

Software

Machine learning in Python

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Okta requires $1,500 annual minimum contract; scikit-learn no GPU acceleration by default; limited optional GPU support requires external arrays
  • They diverge on capability: Okta covers Single sign-on (SSO), scikit-learn covers Classification algorithms.

Where they differ

Only the attributes on which Okta and scikit-learn actually diverge.

Attributes where Okta and scikit-learn differ
AttributeOktascikit-learn
PlatformsWeb, SaaSPython, Linux, macOS, Windows
Founded20092007

Identical on both: starting price (Free), pricing model (Unknown), 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 Okta

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

Only in scikit-learn

  • Classification algorithms
  • Regression models
  • Clustering methods
  • Dimensionality reduction
  • Model selection
  • NumPy
  • SciPy
  • Pandas

What people use each for

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

Okta

  • Employee SSOnot scikit-learn
  • Customer identitynot scikit-learn
  • B2B integrationnot scikit-learn
  • Zero Trust securitynot scikit-learn
  • Compliancenot scikit-learn

scikit-learn

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

Where each one falls short

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

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

scikit-learn

  • No GPU acceleration by default; limited optional GPU support requires external arrays
  • Single-machine only; no built-in distributed computing across clusters
  • All datasets must fit entirely in RAM; no out-of-core learning
  • No production-grade deep learning; neural network support limited to basic multilayer perceptron
  • No reinforcement learning algorithms

Pricing, plan by plan

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

scikit-learn

Free

No published plan breakdown. See the scikit-learn review.

Which should you pick?

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

Choose scikit-learn if

  • You need classification algorithms.
  • You want to start without paying.
  • You work on Python, Linux, macOS, Windows.
  • You also want regression models.
scikit-learn review

Questions people ask

Is Okta or scikit-learn better?
Neither clearly leads. Okta starts at Free and scikit-learn at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Okta or scikit-learn?
Okta starts at Free and scikit-learn at Free.
Does Okta or scikit-learn run on more platforms?
Okta runs on Web, SaaS. scikit-learn runs on Python, Linux, macOS, Windows.
Can I use Okta for free?
Both have a free tier, so you can try either at no cost before committing.
What is Okta best used for?
Okta is most often used for employee sso, customer identity, b2b integration, zero trust security. Of those, employee sso and customer identity are not what scikit-learn is typically brought in for.
What can Okta do that scikit-learn cannot?
Okta covers Single sign-on (SSO), Multi-factor authentication, Lifecycle management, Universal directory. scikit-learn covers Classification algorithms, Regression models, Clustering methods, Dimensionality reduction.

Answered from the vendors’ own pages

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
scikit-learn: Does scikit-learn support GPU acceleration?

Scikit-learn has no native GPU support by design to keep installation simple and cross-platform. Since 2023, a limited number of estimators can run on GPUs if input data is provided as PyTorch or CuPy arrays, but this requires additional setup.

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
scikit-learn: Can scikit-learn handle datasets larger than RAM?

No. Scikit-learn is built on NumPy which requires all data to fit in memory, and NumPy operates on single-machine CPUs only. For very large datasets, consider Spark MLlib or distributed alternatives.

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
scikit-learn: Is scikit-learn free to use commercially?

Yes. Scikit-learn is open source under the BSD license, which allows free commercial use, modification, and distribution.

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
scikit-learn: What neural network capabilities does scikit-learn have?

Scikit-learn includes only a basic multilayer perceptron (MLPClassifier and MLPRegressor) for simple feedforward networks. For serious deep learning, use PyTorch, TensorFlow, or Keras instead.

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
scikit-learn: Does scikit-learn include natural language processing?

Scikit-learn has minimal NLP support limited to basic text feature extraction and vectorization. For comprehensive text processing, use spaCy or NLTK instead.

Source
scikit-learn: When was scikit-learn first released?

Scikit-learn's first public release was February 1, 2010, following its start as a Google Summer of Code project in 2007.

Source
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