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Machine Learning · pricing

scikit-learn pricing

No tier breakdown is published on the record we hold for scikit-learn. Below is what is on record, and how it compares with the machine learning tools listed alongside it.

As of 30 August 2026, scikit-learn pricing is free. Figures are the vendor's list prices as recorded on this page's last check; the vendor's site is the final word.

Entry price
Free
Model
Not recorded
Tiers
-
Free tier
Yes

What is on record

The scikit-learn catalogue entry carries no price, but no tier breakdown. The category comparison below is still useful, and the scikit-learn review carries the full feature record.

What the product covers

The full scikit-learn feature record, grouped as the catalogue groups it. This is the product as a whole; the record does not map every feature onto a specific tier.

Other

  • Classification algorithms
  • Regression models
  • Clustering methods
  • Dimensionality reduction
  • Model selection

Integrations

  • NumPy
  • SciPy
  • Pandas
  • Matplotlib

Platform

  • Linux support
  • Mac support
  • Windows support

People bring scikit-learn in for machine learning, data analysis, model training, predictive analytics. If that is not the job you are buying for, the alternatives to scikit-learn are worth a look before you commit to a tier.

How that compares in Machine Learning

Too few machine learning tools in this directory publish a starting price to quote a meaningful median, so the table below is a like-for-like list rather than a ranking.

scikit-learn entry price against other Machine Learning tools
ToolEntry priceModelRatedHead to head
scikit-learn (this page)Free--
ClearMLFreeOpen-source self-hosted, with paid hosted and enterprise tiers-vs scikit-learn
LangwatchFree, then €29/monthTiered subscription with usage-based overage charges-vs scikit-learn
HaystackFreeOpen-source with optional paid enterprise support-vs scikit-learn
Semantic KernelFreeOpen source, no pricing-vs scikit-learn
Fal AI$1.89/hourusage-based-vs scikit-learn
H2O.aiFreefreemium-vs scikit-learn

Ratings are aggregated from third-party sources and imported with each catalogue entry, they are not reviews hosted on Softwr. How each figure is used is set out on the scikit-learn badges page.

Before you pay for scikit-learn

Three things this page cannot tell you, and all three change the bill. The record carries a price and a billing period but not the unit - per-seat and flat-rate pricing are indistinguishable in this data, so a five-person team may be looking at five times the figure above. It carries no annual rate, so any discount for paying yearly is not something this page can quote. And it carries no trial length.

What it can tell you is the shape of the ladder: not published on the record we hold. Because there is a free tier, the cheapest way to answer the rest is to use it before paying anything.

scikit-learn runs on python, linux, macos, windows, and is published by scikit-learn Community of Open Source Community. The full record is on the scikit-learn review, and the rest of the category is under best machine learning tools.

scikit-learn pricing on the vendor's own site

scikit-learn pricing questions

How much does scikit-learn cost?
No price is published on the record we hold for scikit-learn. The vendor's own site is the only reliable source for the current figure.
Does scikit-learn have a free plan?
Yes, scikit-learn is recorded as free, so it can be used without paying.
Which machine learning tools can I use without paying?
7 of the 8 machine learning tools listed alongside scikit-learn have a free tier: ClearML, Langwatch, Haystack, Semantic Kernel, H2O.ai.
What am I actually paying for with scikit-learn?
The record lists 12 features across 3 areas: other, integrations, platform. In practice it is brought in for machine learning, data analysis, model training.
Does scikit-learn charge per user?
The record carries a price and a billing period, but not the unit that price is charged in. Per-seat and flat-rate billing look identical in this data, so check the vendor's page before budgeting for a team.
Are these scikit-learn prices current?
They are what the catalogue entry holds, refreshed when the entry is. Vendors change pricing without notice and nobody at Softwr re-verifies each tier by hand, so treat this as a structured summary and the vendor's own pricing page as the authority.
What should I compare scikit-learn against before paying?
The closest machine learning tools in this directory are ClearML, Langwatch, Haystack, Semantic Kernel. Each has a side-by-side comparison with scikit-learn covering price, platforms and features.

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