</>PackageGraphPackageGraph

scikit-learn

PyPIv1.9.0

A set of python modules for machine learning and data mining

Not recommended for new projects

No — scikit-learn should not be adopted for new projects. No license declared — you have no explicit right to use this code.

  • ?Adoption: grade ?, Not reported by this registry.

    No download data reported for this package yet.

  • BMaintenance: grade B, Good.

    Last published 99 days ago. 12 releases in the last 2 years.

  • BWeight: grade B, Good.

    Pulls in 6 transitive packages, about 25 MB installed (at least — some of the tree is still being crawled).

  • BSupply chain: grade B, Good.

    This package lists no maintainer.

  • FLicense: grade F, Failing.

    No license declared — you have no explicit right to use this code.

Grades are computed deterministically from registry metadata collected by PackageGraph — downloads, dependents, publish dates, the resolved dependency tree, maintainer count, and declared licenses. No third-party scores are used.

Install cost

What you actually take on by adding scikit-learn to a project.

5
Direct dependencies

Runtime packages this one declares itself.

6
Total installed

Distinct packages in the full runtime tree, deduplicated the way a package manager would.

25 MB
Install size

Unpacked size of this package plus its entire runtime tree.

2
Tree depth

Longest resolved dependency chain below this package.

Part of this dependency tree has not been crawled yet, so these figures are a lower bound rather than a final total.

Licenses in the dependency tree

BSD-3-Clause

Every license you inherit by installing scikit-learn, not just its own. Check this before a legal review, not after.

Compatibility

Python
python >=3.11

Quick start

A usage example from the scikit-learn README.

code
scikit-learn requires:

- Python (>= |PythonMinVersion|)
- NumPy (>= |NumPyMinVersion|)
- SciPy (>= |SciPyMinVersion|)
- Narwhals (>= |NarwhalsMinVersion|)
- joblib (>= |JoblibMinVersion|)
- threadpoolctl (>= |ThreadpoolctlMinVersion|)

=======

Scikit-learn plotting capabilities (i.e., functions start with ``plot_`` and
classes end with ``Display``) require Matplotlib (>= |MatplotlibMinVersion|).
For running the examples Matplotlib >= |MatplotlibMinVersion| is required.
Example truncated — see the project README.

Dependencies

Declared by scikit-learn v1.9.0. Runtime dependencies are installed with the package; dev dependencies are not.

Runtime (5)

joblib >=1.4.0narwhals >=2.0.1numpy >=1.24.1scipy >=1.10.0threadpoolctl >=3.5.0

Relationship graph

Dependencies (left) and dependents (right) of scikit-learn.

numpyjoblibnarwhalsthreadpoolctlscikit-learn
scikit-learn dependencies dependents

Release history

10 releases in the last two years, typically about 42 days apart.

Recent versions of scikit-learn
VersionPublishedSizeLicense
1.9.0latest3 months ago8.4 MB—
1.9.0rc13 months ago8.4 MB—
1.8.09 months ago8.2 MB—
1.8.0rc19 months ago8.2 MB—
1.7.21 year ago8.9 MB—
1.7.11 year ago8.9 MB—
1.7.01 year ago11 MB—
1.7.0rc11 year ago11 MB—
1.6.11 year ago12 MB—
1.6.01 year ago12 MB—
1.6.0rc11 year ago12 MB—
1.5.22 years ago12 MB—
1.5.12 years ago12 MB—
1.5.02 years ago12 MB—
1.5.0rc12 years ago12 MB—

Overview

scikit-learn is an PyPI package that a set of python modules for machine learning and data mining. The latest version is 1.9.0.

Who should use it

Teams working in the PyPI ecosystem who need a set of python modules for machine learning and data mining and value a focused solution.

When not to use it

Consider an alternative if you need to or if a more actively-maintained option better fits your PyPI stack.

Pros

  • Actively published to the registry.

Cons

  • No license detected — review usage terms before adopting.

Auto-generated from collected registry metadata. No external claims are inferred.

Frequently asked questions

Should I use scikit-learn?

No — scikit-learn should not be adopted for new projects. No license declared — you have no explicit right to use this code.

How do I install scikit-learn?

Run `pip install scikit-learn` to add scikit-learn to your PyPI project.

How many dependencies does scikit-learn have?

scikit-learn declares 5 direct dependencies and pulls in 6 packages in total once its runtime tree is resolved totalling about 25 MB on disk.

What license is scikit-learn released under?

No license was detected in scikit-learn's metadata; review the repository before use.

Is scikit-learn still maintained?

The most recent release of scikit-learn (v1.9.0) was published 3 months ago.