Congrats! I was playing with SM a few weeks ago for a side project, very cool to hear it's still being actively worked on 🎉

Oh, docs are here: docs.augu.rs
and repo is here: github.com/grafana/augu...

The forecasting implementations are also heavily based on the OG Python and R versions, there's not a tremendous amount of new stuff there! Outlier and clustering are a bit more interesting at least.

Anyway, issues and PRs are welcome if you find something missing!

#rustlang #timeseries

It's standing on the shoulders of giants as always though. The JS library is only possible thanks to the awesome wasm-bindgen, wasm-pack and newer WASM component tooling, and the Python bindings use the inimitable PyO3 and maturin

I started writing this because none of the other time series libraries I found met my needs:
- fast
- portable (I want to be able to run in the browser _and_ in Python)
- maintainable (please don't write libraries in Jupyter notebooks 😬)

Hopefully augurs meets all three. Plus it has a cool name!