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Augurs demo
- zachwill 2y agoAs someone coming from the Python data science / Jupyter side: holy crap this is lightning fast. Kudos! Very impressive work.
- mrshu 2y agoSome links: - Repo: https://github.com/grafana/augurs https://github.com/grafana/augurs - Docs: https://docs.augu.rs/ https://docs.augu.rs/ - Python library: https://pypi.org/project/augurs/ https://pypi.org/project/augurs/ - npm library: https://www.npmjs.com/package/@bsull/augurs https://www.npmjs.com/package/@bsull/augurs
- sammcgrail 2y agoNice uplot
- esafak 2y agoCould this be used for outlier detection in Grafana or the like?
- sd2k 2y agoYes, in fact this is exactly what it was written for! If you're writing a Grafana app plugin (using Grafana Scenes, a library to help write dashboard-like experiences in Grafana apps) you can use Scenes ML to add outlier detection, forecasting or changepoint detection pretty easily: https://grafana.com/developers/scenes/scenes-ml/outlier-detection https://grafana.com/developers/scenes/scenes-ml/outlier-dete....
- whatevermom 2y agoThanks for sharing
- dang 2y agoRelated: Show HN: Augurs, a time series toolkit for Rust - https://news.ycombinator.com/item?id=42184386 https://news.ycombinator.com/item?id=42184386 - Nov 2024 (1 comment)
- atdt 2y agoFor someone new to time series analysis, how did you choose these particular algorithms? Are they standard in the field, or more of a personal selection?
- sd2k 2y agoMost of the algorithms in augurs were chosen to solve problems we've had at Grafana, which tend to require a solution that doesn't require tweaking too many parameters and deals with higher frequency series than many other time series algorithms are designed to deal with. For example, the DBSCAN clustering algorithm works without having to choose the number of clusters, and MSTL/Prophet work with multiple seasonalities and sub-daily data. The other criteria is that they needed to be fast and cheap, which ruled out many of the deep learning/neural net based models, although I'd still like to try some foundation models using Burn or some other Rust deep learning framework!
- ayhanfuat 2y agoDid you consider matrix profile as well?
- ekianjo 2y agoentirely depends on the use case. If you want to do prediction, decomposition, classification, you have many different choices available.
- jan_Inkepa 2y agoIs there any way to zoom out of the graphs once you've zoomed in by clicking and dragging?
- dygd 2y agoDouble-click will reset the zoom
- deleted 2y ago[deleted]