TsLu1s/segmentae
SegmentAE: A Python Library for Anomaly Detection Optimization
This tool helps data professionals find unusual patterns or 'anomalies' in their business data, like fraudulent transactions or system malfunctions. You feed it a spreadsheet or database table, and it tells you which entries are suspicious. It's designed for data scientists, analysts, or operations managers who need to flag rare but significant events in large datasets.
Available on PyPI.
Use this if you need to precisely identify anomalies in structured, tabular datasets for applications like financial fraud detection, network security, or industrial equipment monitoring.
Not ideal if your data is unstructured (like images, text, or audio) or if you need a simple, off-the-shelf solution without customization.
Stars
7
Forks
1
Language
Python
License
MIT
Category
Last pushed
Feb 20, 2026
Commits (30d)
0
Dependencies
8
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