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

../_images/datamllab_tods-small.png

Website

N/A

Repository

https://github.com/datamllab/tods

Byline

An Automated Time-series Outlier Detection System

License

Apache 2.0

Project age

1 years 7 months

Backers

Rice DATA Lab (Creator and maintainer)

Size score (1 to 10, higher is better)

2.5

Trend score (1 to 10, higher is better)

4.0

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 March 31, 2022.

Statistic

Lifetime

Last 12 Months

Commits

301

78

Lines committed

2,166,670

106,350

Unique committers

13

5

Core committers

5

2

../_images/datamllab_tods-monthly-commits.png

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