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Cybersecurity · head to head

Ory vs scikit-learn

Ory logo

Ory

Cybersecurity

Open-source identity, authentication, and permissions infrastructure

From
Free
Rated
-
Full reviewWebsite
scikit-learn logo

scikit-learn

Machine Learning

Machine learning in Python

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Ory production and Growth plans are billed annually ($770/year and $9,350/year), which is a larger upfront commitment than monthly-only competitors.; scikit-learn no GPU acceleration by default; limited optional GPU support requires external arrays
  • They diverge on capability: Ory covers Authentication APIs, scikit-learn covers Classification algorithms.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where Ory and scikit-learn differ
AttributeOryscikit-learn
Pricing modelusage-basedUnknown
Platformsweb, apiPython, Linux, macOS, Windows
CategoryCybersecurityMachine Learning
FoundedUnknown2007

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 Ory

  • Authentication APIs
  • Permissions engine
  • Machine-to-machine tokens
  • B2B organizations
  • SAML SSO
  • Multi-region deployments

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.

Ory

  • Adding self-hosted or cloud identity to a new productnot scikit-learn
  • Implementing fine-grained permission checksnot scikit-learn
  • Supporting B2B organizations and multi-tenancynot scikit-learn
  • Building machine-to-machine authentication for microservicesnot scikit-learn

scikit-learn

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

Where each one falls short

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

Ory

  • Production and Growth plans are billed annually ($770/year and $9,350/year), which is a larger upfront commitment than monthly-only competitors.
  • SAML SSO and multi-region deployments are reserved for the custom-priced Enterprise tier.
  • Usage-based pricing across aDAU, M2M tokens, and permission checks makes cost estimation more complex than flat per-MAU billing.

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

Ory

Free
  • DeveloperFree
    • Community support
    • No production environments
  • Production$64/month
    • $21 monthly credit included
    • 1 production environment
    • 3 staging environments
  • Growth$779/month
    • $255 monthly credit included
    • 2 production environments
    • B2B organizations (max 3)

scikit-learn

Free

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

Which should you pick?

Choose Ory if

  • You need authentication apis.
  • You want to start without paying.
  • You work on web, api.
  • You also want permissions engine.
Ory 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 Ory or scikit-learn better?
Neither clearly leads. Ory 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, Ory or scikit-learn?
Ory starts at Free and scikit-learn at Free.
Does Ory or scikit-learn run on more platforms?
Ory runs on web, api. scikit-learn runs on Python, Linux, macOS, Windows.
Can I use Ory for free?
Both have a free tier, so you can try either at no cost before committing.
What is Ory best used for?
Ory is most often used for adding self-hosted or cloud identity to a new product, implementing fine-grained permission checks, supporting b2b organizations and multi-tenancy, building machine-to-machine authentication for microservices. Of those, adding self-hosted or cloud identity to a new product and implementing fine-grained permission checks are not what scikit-learn is typically brought in for.
What can Ory do that scikit-learn cannot?
Ory covers Authentication APIs, Permissions engine, Machine-to-machine tokens, B2B organizations. scikit-learn covers Classification algorithms, Regression models, Clustering methods, Dimensionality reduction.

Answered from the vendors’ own pages

Ory: What does Ory cost?

Ory has a free Developer tier, a Production plan at $770/year including a $21 monthly credit, a Growth plan at $9,350/year including a $255 monthly credit, and custom Enterprise pricing.

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
Ory: How is usage metered?

Beyond the included credit, Ory charges per average daily active user (aDAU), per machine-to-machine token, and per permission check, with lower per-unit rates on the Growth 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
Ory: What payment methods are supported?

Ory accepts credit cards (Visa, MasterCard, Amex) and bank transfer, processed via Stripe.

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
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
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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