Package Insights
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
90
Popularity
85
Adoption
70
Community
70
How the maintenance status was determined
Last commit
19 days ago
Monthly downloads
2,673,285
•
Active
Activity within 30 days
Stable
Activity within 31-180 days
Minimal
Activity within 181-365 days, or no activity data
At Risk
No activity for > 365 days, but > 10,000 monthly downloads
Archived
Repository flagged as archived on GitHub
How the popularity category was determined
Monthly downloads
2,673,285
Stars
9,836
Stars per 1k downloads
3.68
Industry Standard
> 10,000,000 monthly downloads
Hidden Gem
< 0.5 stars per 1k downloads and > 100,000 monthly downloads
Community Favorite
> 5 stars per 1k downloads
•
Rising Star
Balanced ratio of stars to downloads
Unknown
Fewer than 1,000 monthly downloads, or no star data
How download momentum is calculated
Week daily avg
80,990
Month daily avg
89,110
Momentum
-9.1%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100Python version support tiers
requires_python
>=3.9
Cutting Edge
Minimum supported version is 3.12 or newer
•
Modern
Minimum supported version is 3.9, 3.10, or 3.11
Legacy
Supports 3.8 or older (or Python 2)
Unknown
No requires_python specified or unparseable
License categories
License
BSD-2-Clause
•
Permissive
MIT, Apache, BSD, ISC, Unlicense, CC0, etc.
Copyleft
GPL, LGPL, AGPL, MPL, EPL, etc.
Proprietary
Commercial, all rights reserved, custom EULAs
Unknown
No license specified, or none of the above match
How the release cadence was determined
Last release
19 days ago
Total releases
104
Releases/year
13.1
•
Rapid
Last release within 365 days and > 12 releases/year
Regular
Last release within 365 days
Slow
Last release 366-730 days ago
Stalled
Last release > 730 days ago, or no releases
Unknown
No usable release date available
How contributor risk was determined
Contributors
54
Monthly downloads
2,673,285
High Load
≤ 2 contributors and ≥ 50,000 monthly downloads
Moderate Load
< 10 contributors and ≥ 500,000 monthly downloads
Low Load
< 25 contributors and ≥ 5,000,000 monthly downloads, or sole maintainer with ≥ 10,000 monthly downloads
•
Balanced
Enough contributors for the package's popularity
Unknown
No contributor data available
Engagement
79
Issue Burden
19.9
per 1k stars
Discussions
2.7
per 1k stars
Fork Ratio
3.7%
contrib / forks
Stale Release
No
PR Velocity
Active
Weekly Downloads
GitHub Stars
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.
Downloads by OS
Linux
45.5K
Windows
531
macOS
340
Python Versions
3.12
48.7%
22.1K
3.11
32.2%
14.6K
3.10
10.9%
4.9K
3.9
6.3%
2.9K
3.8
2.0%
885
Top Countries
1.
US
28.5K
US
2.
NL
11.0K
NL
3.
IE
1.7K
IE
4.
GB
1.5K
GB
5.
AU
799
AU
6.
SG
739
SG
7.
JP
481
JP
8.
GR
290
GR
9.
KR
275
KR
10.
IN
266
IN
Dependencies
6
- joblib
- matplotlib
- numba >=0.51
- numpy >=1.19
- scikit-learn >=0.22.0
- scipy >=1.5.1
24 optional dependencies
- combo[all]
- combo[combo]
- mcp[mcp]
- mcp[all]
- openai[all]
- openai[openai]
- pillow[all]
- pillow[huggingface]
- pythresh[pythresh]
- pythresh[all]
- sentence-transformers[all]
- sentence-transformers[embedding]
- suod[suod]
- suod[all]
- torch[all]
- torch[graph]
- torch[huggingface]
- torch[torch]
- torch-geometric[all]
- torch-geometric[graph]
- transformers[all]
- transformers[huggingface]
- xgboost[all]
- xgboost[xgboost]
Package Information
License
BSD-2-Clause
First Release
May 20, 2018
Last Release
2 weeks ago
Last Commit
2 weeks ago
Latest Version
3.2.1
Total Releases
104
Contributors
54
Open PRs
39
Archived
No
Python Versions
3.9
3.10
3.11
3.12
3.13
Wheels
py3
Keywords
anomaly detection
outlier detection
machine learning
deep learning
unsupervised learning
time series anomaly detection
graph anomaly detection
nlp anomaly detection
image anomaly detection
multimodal
agentic ai
foundation models
fraud detection
novelty detection
out-of-distribution detection
outlier ensembles
pytorch
python
Topics
outlier-detection
anomaly-detection
outlier-ensembles
machine-learning
data-mining
unsupervised-learning
fraud-detection
deep-learning
data-science
novelty-detection
out-of-distribution-detection
foundation-models
image-anomaly-detection
multimodal
nlp-anomaly-detection
agentic-ai
graph-anomaly-detection
time-series
time-series-anomaly-detection
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh