georgian-io / pyoats
Quick and Easy Time Series Outlier Detection
Why this job: works in the areas we cover, but does not say which job it does
What it does
Adapting existing outlier detection & prediction methods into a time series outlier detection system is not a simple task. Good news: OATS has done the heavy lifting for you!
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 21 days ago
- Stars
- 113
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 0.1.3
- Released 2 years ago
- Built with
- Python
- 95% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 33 merged
- 4 waiting
- Releases
- 4
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 95%
- Shell 3%
- Dockerfile 1%
- Makefile 1%
Topics
- anomaly
- anomaly-detection
- data-science
- deep-learning
- machine-learning
- time-series
- timeseries
Project record
- JobOther AI tools
- StatusListed
- Commits211
- Forks10
- Watching7
- Stars in 28 days+1
- CreatedMay 13, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026