alibi-detect

library0.13.0pypypiunverified

A Python library for outlier detection, adversarial detection, concept drift detection, and explainability. Supports TensorFlow, PyTorch, and scikit-learn backends. Current version 0.13.0, with quarterly releases.

ai-ml data

pip install alibi-detect

github ↗package ↗homepage ↗

INSTALL

IMPORT

SIG · ALIBI-DETECT

alibi-detect

ai-mlpythonv0.13.0

Install

39.5s avg

Import

—

Disk

1013MB

Pass rate

4/ 10

Env Coverage4 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.13.0 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

glibc

py 3.10

✕ build_error

✓ 39.9s

py 3.11

✕ build_error

✓ 36.7s

py 3.12

✕ build_error

✓ 35.7s

py 3.13

✕ build_error

py 3.9

✕ build_error

✓ 45.6s

1013MB installed

● package 1013MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

outlier_detector

✓ from alibi_detect.od import OutlierAENN

✗ from alibi_detect import OutlierAENN

Detectors are in submodules like alibi_detect.od, alibi_detect.cd, alibi_detect.ad.

drift_detector

✓ from alibi_detect.cd import MMDDrift

✗ from alibi_detect.drift import MMDDrift

Drift detectors are in alibi_detect.cd (concept drift) not a separate drift module.

Basic drift detection with MMDDrift.

from alibi_detect.cd import MMDDrift from alibi_detect.utils.data import create_outlier_batch import numpy as np # create some reference data np.random.seed(0) ref_data = np.random.randn(100, 10) # initialize detector cd = MMDDrift(ref_data, p_val=0.05) # detect drift on new data x_new = np.random.randn(100, 10) preds = cd.predict(x_new) print(preds)

Debug

Known issues

breakingIn v0.13.0, TensorFlow backend requires setting environment variable TF_USE_LEGACY_KERAS=1 to use legacy Keras for saving/loading detectors with legacy=True or loading old pickles.

fix

Set os.environ['TF_USE_LEGACY_KERAS'] = '1' before importing tensorflow or alibi_detect.

affects: 0.13.0

breakingFrom v0.12.0, Pydantic v2 is supported via a v1 shim. Code relying on Pydantic v1 imports may break if v2 is installed.

fix

Ensure pydantic<2 or use the shim; check if your code uses internal Pydantic API.

affects: >=0.12.0

gotchaWhen saving or loading detectors, the environment variable TF_USE_LEGACY_KERAS may need to be set consistently across sessions. Failure causes cryptic tensorflow errors.

fix

Always set TF_USE_LEGACY_KERAS=1 when using TensorFlow backend, even if not saving/loading legacy files.

affects: >=0.13.0

deprecatedPython 3.7 support was dropped in v0.11.4. Python 3.11 support added in v0.11.3, Python 3.12 in v0.13.0.

fix

Upgrade Python to 3.9+.

affects: >=0.11.4

Upgrade

Version history

0.13.0latest on PyPI · released Dec 11, 2025

Audit

Dependencies

tensorflowoptionalRequired for TensorFlow-based detectors and legacy saving/loading (environment variable TF_USE_LEGACY_KERAS=1 needed for v0.13.0).

torchoptionalOptional for PyTorch-based detectors.

scikit-learnrequiredRequired for certain detectors and metrics.

Agent activity

49 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/SeldonIO/alibi-detect ↗

packagehttps://pypi.org/project/alibi-detect/ ↗

homepagehttps://docs.seldon.io/projects/alibi-detect ↗