imblearn
Toolbox for imbalanced dataset in machine learning.
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- This package is abandoned and non-functional; do not attempt to use it.
- 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 · maintenance · safety
(unclear) — License treatment is unclear; no SPDX identifier or raw license text is available, creating ambiguity about redistribution or modification rights.
last release 2017-01-19 (3494 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 4,094,752 downloads/mo, #2,383 on PyPI
Alternatives
Verify before relying
# This package is a stub and should not be used.
# Install the successor package instead:
# pip install imbalanced-learn- 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.
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 on it.
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
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.
This package is abandoned and non-functional; do not attempt to use it.
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-learnVerify 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
| License | Not declared unclear |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 3,494 days since the last release |
| First released | |
| Downloads | 4,094,752 / month, #2,383 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: imblearn-0.0-py2.py3-none-any.whl
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