scikit-learn-stubs
scikit-learn stubs from the Microsoft python-type-stubs repository
Decision gist · record as of 2026-08-14
Yes, if you use scikit-learn and want static type checking in your project. Install it as a development dependency. However, verify that the stubs are current for your scikit-learn version, and monitor the repository for updates—the minimal maintenance signal and recent first release suggest this may not track scikit-learn changes closely. The Microsoft repository may be a more actively maintained alternative.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; type checking tool (mypy, pyright, pylance) must be separately configured to use the stubs.
- Low friction install with no runtime dependencies.
- Package is newly released (first release 2025-08-27) and marked as aging after 351 days, with minimal maintenance activity and only 3 repository stars.
License · maintenance · safety
MIT (permissive) — MIT license is permissive and imposes no restrictions on use, modification, or distribution in your own projects.
last release 2025-08-28 (351 days) · last repo commit 2025-08-28 · 3 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 336,315 downloads/mo, #7,462 on PyPI
Alternatives
Verify before relying
pip install scikit-learn-stubs
# Then use with type checker (mypy, pyright, etc.)
# in your IDE or CI pipeline for scikit-learn code- Whether stubs are kept in sync with scikit-learn releases given the minimal maintenance signal.
- Coverage completeness of the stubs relative to the full scikit-learn API surface.
- Whether this package is actively maintained or if the Microsoft repository is the recommended source.
What it is and what it does
scikit-learn-stubs is a type stub package that provides type hints for scikit-learn, enabling static type checkers like mypy and pyright to understand scikit-learn's API. Type stubs are metadata files that describe the types of functions, classes, and methods without executing code, allowing developers to catch type errors during development rather than at runtime.
The package is a PyPI distribution of stubs originally from Microsoft's Python Type Stubs repository. It has no runtime dependencies and is installed purely to support development-time type checking. The package supports Python 3.9 through 3.13 and carries an MIT license. However, the package is newly released and shows minimal ongoing maintenance, which may affect how current the stubs remain relative to scikit-learn's own API evolution.
Use it for
- Enable mypy or pyright to type-check code that calls scikit-learn functions and classes.
- Improve IDE autocomplete and inline documentation for scikit-learn in editors that support type stubs.
- Catch type mismatches in machine learning pipelines during development before runtime.
- Support continuous integration pipelines that enforce static type checking on scikit-learn-dependent code.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use scikit-learn and want static type checking in your project.
Install it as a development dependency. However, verify that the stubs are current for your scikit-learn version, and monitor the repository for updates—the minimal maintenance signal and recent first release suggest this may not track scikit-learn changes closely. The Microsoft repository may be a more actively maintained alternative.
Install
scikit-learn-stubs on PyPI
Before you install
Low friction install with no runtime dependencies. Package is newly released (first release 2025-08-27) and marked as aging after 351 days, with minimal maintenance activity and only 3 repository stars.
Requires Python 3.9 or later; type checking tool (mypy, pyright, pylance) must be separately configured to use the stubs.
License in practice
MIT license is permissive and imposes no restrictions on use, modification, or distribution in your own projects.
Quickstart
pip install scikit-learn-stubs
# Then use with type checker (mypy, pyright, etc.)
# in your IDE or CI pipeline for scikit-learn codeVerify before relying
- Whether stubs are kept in sync with scikit-learn releases given the minimal maintenance signal.
- Coverage completeness of the stubs relative to the full scikit-learn API surface.
- Whether this package is actively maintained or if the Microsoft repository is the recommended source.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Aging 351 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 336,315 / month, #7,462 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPython |
Evidence: scikit_learn_stubs-0.0.3-py3-none-any.whl
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See also sklearn · scikit-learn · pandas-stubs · skops · scikeras · sklearndf · sklearn-compat · sklearn-crfsuite · scikit-learn-extra