georgian-io/pyoats
Quick and Easy Time Series Outlier Detection
This tool helps data analysts and operations engineers quickly find unusual patterns in their time-based datasets. You input a time series (like sensor readings or stock prices) and it outputs an 'anomaly score' and identifies points that deviate significantly from the norm. It's designed for anyone who needs to monitor performance, detect fraud, or identify critical incidents.
111 stars.
Use this if you need to automatically detect outliers or anomalies in sequential data, such as system logs, financial data, or IoT sensor streams.
Not ideal if your data is not time-dependent, or if you need to perform complex root-cause analysis beyond simple anomaly detection.
Stars
111
Forks
10
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 23, 2025
Commits (30d)
0
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