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Software Development · head to head

Factory vs scikit-learn

Factory logo

Factory

Software Development

The autonomy stack for enterprise teams

From
$20/month
Rated
-
Full reviewWebsite
scikit-learn logo

scikit-learn

Machine Learning

Machine learning in Python

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only scikit-learn has a free tier, so it costs nothing to try first.
  • Each has a real cost: Factory business and Enterprise plans require direct sales contact for pricing; scikit-learn no GPU acceleration by default; limited optional GPU support requires external arrays

Where they differ

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

Attributes where Factory and scikit-learn differ
AttributeFactoryscikit-learn
Starting price$20/monthFree
Pricing modelsubscriptionUnknown
Free tierNoYes
PlatformsWebPython, Linux, macOS, Windows
CategorySoftware DevelopmentMachine Learning
FoundedUnknown2007

Identical on both: 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 Factory

Nothing recorded that scikit-learn does not also cover.

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.

Factory

  • AI agent development and deploymentnot scikit-learn
  • Multi-platform automationnot scikit-learn
  • Background task executionnot scikit-learn
  • Agent orchestrationnot scikit-learn

scikit-learn

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

Where each one falls short

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

Factory

  • Business and Enterprise plans require direct sales contact for pricing
  • Individual plans (Pro, Plus, Max) have limited feature details

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

Factory

$20/month
  • Pro$20/month
    • Agent-native multi-platform experience
    • Desktop, CLI, and SDK access
    • Cloud and local background agents
  • Plus$100/month
    • Everything in Pro
    • Approximately 5x usage limits
    • Droid Computers for remote agents
  • Max$200/month
    • Everything in Plus
    • Approximately 10x usage limits
    • Early access to new features
  • Business$null/mo

scikit-learn

Free

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

Which should you pick?

Choose Factory if

Nothing in the data separates Factory from scikit-learn on the points above - pick on price and on how each one feels to use.

Factory 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 Factory or scikit-learn better?
Neither clearly leads. Factory starts at $20/month and scikit-learn at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Factory or scikit-learn?
scikit-learn has a free tier; the other does not. Paid plans start at $20/month for Factory and Free for scikit-learn.
Does Factory or scikit-learn run on more platforms?
Factory runs on Web. scikit-learn runs on Python, Linux, macOS, Windows.
Can I use scikit-learn for free?
Yes. scikit-learn has a free tier, so you can try it without paying. Factory starts at $20/month.
What is Factory best used for?
Factory is most often used for ai agent development and deployment, multi-platform automation, background task execution, agent orchestration. Of those, ai agent development and deployment and multi-platform automation are not what scikit-learn is typically brought in for.
What can Factory do that scikit-learn cannot?
scikit-learn covers Classification algorithms, Regression models, Clustering methods, Dimensionality reduction.

Answered from the vendors’ own pages

Factory: What is Factory.ai's pricing?

Factory.ai offers individual plans starting at USD$20 per month for Pro, USD$100 per month for Plus, and USD$200 per month for Max. Team plans including Business and Enterprise tiers are available at custom pricing based on the number of seats required.

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
Factory: What are the usage limits for each plan?

The Pro plan is the baseline tier. Plus provides approximately 5 times the usage limits of Pro, while Max provides approximately 10 times the usage limits of Pro. Exact usage limits are not specified on the pricing page.

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
Factory: What AI models are included with Factory.ai?

All Factory.ai plans include access to GPT-5, Claude Opus and Sonnet, Google Gemini, and open-weight models. Business and Enterprise plans also include dedicated compute with partitioned inference and options for on-premise deployment.

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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