Augurs demo

(demo.augu.rs)

165 points | by weinzierl 4 days ago ago

11 comments

  • zachwill 9 hours ago

    As someone coming from the Python data science / Jupyter side: holy crap this is lightning fast. Kudos! Very impressive work.

  • mrshu 5 hours ago
  • dang 18 hours ago

    Related:

    Show HN: Augurs, a time series toolkit for Rust - https://news.ycombinator.com/item?id=42184386 - Nov 2024 (1 comment)

  • atdt 16 hours ago

    For 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 2 hours ago

      Most 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 14 minutes ago

        Did you consider matrix profile as well?

    • ekianjo 13 hours ago

      entirely depends on the use case. If you want to do prediction, decomposition, classification, you have many different choices available.

  • sammcgrail 3 hours ago

    Nice uplot

  • jan_Inkepa 12 hours ago

    Is there any way to zoom out of the graphs once you've zoomed in by clicking and dragging?

    • dygd 12 hours ago

      Double-click will reset the zoom

  • whatevermom 19 hours ago

    Thanks for sharing