Detect unusual patterns in time-series data automatically with a comprehensive machine learning system.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeTODS: An Automated Time-series Outlier Detection System
tods has 1.7k stars on GitHub. It has been forked 206 times. tods is written mainly in Python. It has been in active development since 2020. tods is available under the Apache-2.0 license. Its main topics are anomaly-detection, automl, machine-learning, outlier-detection.
What is tods?
TODS: An Automated Time-series Outlier Detection System
Is tods open source?
tods is an open-source project. It is released under the Apache-2.0 license.
Is tods free?
Yes. tods is free and open source — you can use, modify and self-host it.
What license does tods use?
tods is available under the Apache-2.0 license.
What language is tods written in?
tods is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/datamllab-tods.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.