pyod@3.5.0

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 61 detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

2026-05-12 Python >=3.9 wheel sdist

安装 (3.5.0)

pip install pyod==3.5.0

poetry add pyod==3.5.0

pipenv install pyod==3.5.0

conda install pyod=3.5.0

依赖 (34)

依赖
`joblib>=1.5`
`matplotlib`
`numpy>=1.19`
`numba>=0.51`
`scipy>=1.5.1`
`scikit-learn>=0.22.0`
`torch>=2.0; extra == "torch"`
`suod; extra == "suod"`
`xgboost; extra == "xgboost"`
`combo; extra == "combo"`
`pythresh; extra == "pythresh"`
`sentence-transformers>=5.0.0; extra == "embedding"`
`openai>=1.0; extra == "openai"`
`transformers>=4.25.1; extra == "huggingface"`
`torch>=2.0; extra == "huggingface"`
`Pillow; extra == "huggingface"`
`torch>=2.0; extra == "graph"`
`torch_geometric>=2.0; extra == "graph"`
`mcp>=1.0; extra == "mcp"`
`librosa>=0.10; extra == "audio"`
`soundfile; extra == "audio"`
`torch>=2.0; extra == "all"`
`suod; extra == "all"`
`xgboost; extra == "all"`
`combo; extra == "all"`
`pythresh>=1.0.0; extra == "all"`
`sentence-transformers>=5.0.0; extra == "all"`
`openai>=1.0; extra == "all"`
`transformers>=4.25.1; extra == "all"`
`torch_geometric>=2.0; extra == "all"`
`Pillow; extra == "all"`
`mcp>=1.0; extra == "all"`
`librosa>=0.10; extra == "all"`
`soundfile; extra == "all"`

下载文件

文件名	类型	Python 版本	大小
pyod-3.5.0-py3-none-any.whl	bdist_wheel	`py3`	391106 bytes
pyod-3.5.0.tar.gz	sdist	`source`	327908 bytes

版本列表

3.6.1 2026-06-17

3.6.0 2026-06-04

3.5.4 2026-06-04

3.5.2 2026-05-19

3.5.1 2026-05-13

3.5.0 2026-05-12

3.4.0 2026-05-11

3.3.0 2026-05-09

3.2.1 2026-04-16

3.2.0 2026-04-14

3.1.0 2026-04-14

3.0.0 2026-04-13

2.1.0 2026-04-06

2.0.7 2026-02-27

2.0.6 2025-12-02

2.0.5 2025-04-29

2.0.4 2025-03-24

2.0.3 2024-12-22

2.0.2 2024-09-06

2.0.1 2024-06-22

2.0.0 2024-06-01

1.1.3 2024-02-09

1.1.2 2023-11-18

1.1.1 2023-10-25

1.1.0 2023-06-25

1.0.9 2023-03-20

1.0.8 2023-03-08

1.0.7 2022-12-16

1.0.6 2022-10-24

1.0.5 2022-09-15

1.0.4 2022-07-29

1.0.3 2022-07-05

1.0.2 2022-06-23

1.0.1 2022-05-13

1.0.0 2022-04-23

0.9.9 2022-04-04

0.9.8 2022-03-05

0.9.7 2022-01-04

0.9.6 2021-12-25

0.9.5 2021-10-27

0.9.4 2021-10-01

0.9.3 2021-08-29

0.9.2 2021-08-15

0.9.1 2021-08-14

0.9.0 2021-07-04

0.8.9 2021-06-12

0.8.8 2021-04-27

0.8.7 2021-02-18

0.8.6 2021-01-12

0.8.5 2020-12-23

0.8.4 2020-11-17

0.8.3 2020-09-19

0.8.2 2020-08-30

0.8.1 2020-07-01

0.8.0 2020-05-24

0.7.9 2020-05-04

0.7.8.2 2020-04-15

0.7.8.1 2020-04-07

0.7.8 2020-03-17

0.7.7.1 2019-12-30

0.7.7 2019-12-23

0.7.6 2019-12-19

0.7.5.1 2019-12-05

0.7.5 2019-10-13

0.7.4 2019-07-19

0.7.3 2019-06-12

0.7.2 2019-05-29

0.7.1 2019-05-13

0.7.0 2019-04-30

0.6.9 2019-04-10

0.6.8 2019-02-10

0.6.7 2018-12-30

0.6.6 2018-12-24

0.6.5 2018-12-03

0.6.4 2018-11-27

0.6.3 2018-11-26

0.6.2 2018-11-26

0.6.1 2018-11-10

0.6.0 2018-10-19

0.6.6b1 2018-12-19

0.5.9 2018-09-04

0.5.8 2018-09-04

0.5.7 2018-09-03

0.5.6 2018-07-25

0.5.5 2018-07-25

0.5.4 2018-06-18

0.5.3 2018-06-15

0.5.2 2018-06-13

0.5.1 2018-06-13

0.5.0 2018-06-11

0.4.9 2018-06-10

0.4.8 2018-06-08

0.4.7 2018-06-06

0.4.6 2018-06-06

0.4.5 2018-06-05

0.4.4 2018-06-03

0.4.3 2018-06-02

0.4.2 2018-06-02

0.4.1 2018-06-01

0.4.0 2018-06-01

0.3.4 2018-05-30

0.3.3 2018-05-30

0.3.2 2018-05-30

0.3.1 2018-05-28

0.3.0 2018-05-27

0.2.3 2018-05-26

0.2.2 2018-05-25

0.2.1 2018-05-23

0.2.0 2018-05-23

0.1.3 2018-05-21

0.1.2 2018-05-21

0.1.1 2018-05-20