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2. Data Science
3. Time Series Analysis
4. TODS

1. Home
2. Data Science
3. Anomaly Detection
4. TODS

TODS

Focuses on multivariate outlier detection for time series data. It builds on project:yzao062/pyod and support three scenarios: individual point detection, pattern detection, and system-wise detection (comparing sets of time series).

Logo
Website	N/A
Repository	https://github.com/datamllab/tods
Byline	An Automated Time-series Outlier Detection System
License	Apache 2.0
Project age	2 years 3 months
Backers	Rice DATA Lab (Creator and maintainer)
Size score (1 to 10, higher is better)	2.25
Trend score (1 to 10, higher is better)	2.75

Education Resources

URL	Resource Type	Description
https://tods-doc.github.io	Documentation	Official project documentation.
https://arxiv.org/pdf/2009.09822.pdf	Paper	Paper from AAAI conference describing TODS

Git Commit Statistics

Statistics computed using Git data through November 30, 2022.

Statistic	Lifetime	Last 12 Months
Commits	605	35
Lines committed	4,333,346	8,358
Unique committers	13	2
Core committers	5	2

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