sklearn-compat
Ease support for compatible scikit-learn estimators across versions
Decision gist · record as of 2026-08-14
Yes, if you maintain a scikit-learn-compatible library. It eliminates duplicate compatibility code across projects and is actively maintained to track scikit-learn changes. For end users of scikit-learn itself, there is no direct benefit—install only if a dependency requires it.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires scikit-learn >= 1.2 to be installed; designed for library developers writing estimators, not end users.
- Low install friction with a single runtime dependency on scikit-learn.
- Active maintenance with a release 68 days ago and ongoing development.
License · maintenance · safety
permissive license (permissive) — Permissive license allows use in both open-source and commercial projects without significant restrictions.
last release 2026-06-07 (68 days) · last repo commit 2026-08-10 · 13 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,353,710 downloads/mo, #3,112 on PyPI
Alternatives
Verify before relying
pip install sklearn-compat
from sklearn_compat.utils._dataframe import is_pandas_df
from sklearn_compat.utils.validation import validate_data
is_pandas_df(X)
X_validated = validate_data(estimator, X=X, ensure_all_finite=True)- Whether the package will continue tracking all future scikit-learn breaking changes beyond current releases
- Whether vendoring the package is recommended over the PyPI dependency for production use
What it is and what it does
sklearn-compat is a small utility package that centralizes backward-compatible wrappers for scikit-learn's private developer APIs. It solves a specific problem for maintainers of scikit-learn-compatible third-party libraries: each time scikit-learn makes breaking changes to its internal utilities, those libraries have historically duplicated the same compatibility code. This package factors out those utilities into a single maintained source.
The package tracks scikit-learn's breaking changes across versions (currently supporting 1.2 and later) and provides stable import paths for functions that have moved, changed signatures, or been renamed. Developers can import from sklearn-compat instead of directly from scikit-learn's private modules, and the package handles version detection and fallbacks automatically.
Use it for
- Maintain a scikit-learn-compatible estimator library that needs to support multiple scikit-learn versions without duplicating compatibility shims.
- Migrate code from scikit-learn 1.6+ where validate_data moved and force_all_finite was deprecated while keeping backward compatibility.
- Use DataFrame type-checking utilities consistently across scikit-learn versions where they were added at different times.
- Adapt test helpers like _convert_container that changed parameter names between scikit-learn versions without forking test code.
- Support multiple scikit-learn versions in a library without vendoring or maintaining your own compatibility layer.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you maintain a scikit-learn-compatible library.
It eliminates duplicate compatibility code across projects and is actively maintained to track scikit-learn changes. For end users of scikit-learn itself, there is no direct benefit—install only if a dependency requires it.
Install
sklearn-compat on PyPI
Before you install
Low install friction with a single runtime dependency on scikit-learn. Active maintenance with a release 68 days ago and ongoing development.
Requires scikit-learn >= 1.2 to be installed; designed for library developers writing estimators, not end users.
License in practice
Permissive license allows use in both open-source and commercial projects without significant restrictions.
Quickstart
pip install sklearn-compat
from sklearn_compat.utils._dataframe import is_pandas_df
from sklearn_compat.utils.validation import validate_data
is_pandas_df(X)
X_validated = validate_data(estimator, X=X, ensure_all_finite=True)Verify before relying
- Whether the package will continue tracking all future scikit-learn breaking changes beyond current releases
- Whether vendoring the package is recommended over the PyPI dependency for production use
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagescikit-learn |
| Maintenance | Actively maintained 68 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 2,353,710 / month, #3,112 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaLicense :: OSI Approved :: BSD LicenseProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/Engineering :: Physics |
Evidence: sklearn_compat-0.1.6-py3-none-any.whl
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