imblearn

What it is and what it does

imblearn is a stub package released on 2017-01-19 that has been abandoned for over 3494 days. Its only documented purpose is to redirect users to imbalanced-learn. The package contains no runtime dependencies and exists solely as a pointer to its successor.

Despite receiving millions of monthly downloads (likely from legacy dependency chains), the package is unmaintained and provides no actual tooling. Anyone encountering it should migrate directly to the package its homepage points to, which is the active implementation for handling imbalanced datasets.

Use it for:

• Do not use for new projects; install the successor package instead for imbalanced dataset handling.
• If encountered as a transitive dependency, update your dependency tree to use the successor directly.
• Legacy codebases that pinned this package should migrate to restore active maintenance.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

This package is a deprecated stub that redirects users to install imbalanced-learn instead; it serves no functional purpose.

No. This package is abandoned, non-functional, and explicitly directs users elsewhere. It exists only as a historical stub. The only reason to encounter it is as a stale transitive dependency, which should be removed or updated.

Install

imblearn on PyPI

pip install imblearn

uv add imblearn

poetry add imblearn

Installing imblearn

Before you install

Abandoned since 2017-01-19 with no maintenance activity in 3494 days. Install friction is low, but the package itself is non-functional and explicitly directs users elsewhere.

License in practice

License treatment is unclear; no SPDX identifier or raw license text is available, creating ambiguity about redistribution or modification rights.

Quickstart

# This package is a stub and should not be used.
# Install the successor package instead:
# pip install imbalanced-learn

This package is abandoned and non-functional; do not attempt to use it.

Verify before relying

• Whether this stub package is safe to depend on transitively or if it will cause breakage in downstream code.
• Whether the redirect to imbalanced-learn is automatic or requires manual migration by users.
• What actual functionality, if any, the package provides beyond its documented redirect.

Package facts

Evidence: imblearn-0.0-py2.py3-none-any.whl

Tags

More Artificial Intelligence packages