Time Series Anomaly Detection
Project description
# Oddity: Time Series Anomaly Detection
Oddity is a time series anomaly detection tool for Python, implemented in Rust. Oddity is capable of learning trend, global seasonality and even local seasonality from time series data, and works best in these situations.
Being written in Rust, Oddity is incredibly fast and can generally fit to even a few thousand time steps in minimal time.
Oddity also provides a few other tools along with anomaly detection, such as:
STL decomposition
gaussian process fitting
gaussian distribution fitting
Periodicity inference
More functionality along with general optimizations will be added in the future.
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