Nice, that's all available in v0.2.1. I'm thinking of adding a secret-redaction thing similar to Deno Sandbox too, but it sounds like adding docs is the most important thing. Thanks!
@simonwillison.net Hi! you requested a couple of interesting features for (github.com/eryx-org/eryx) the other day on HN, wondered if you had any other blockers or requests when trying to use it? I think I'm pretty close to an initial release (esp given support for other packages, numpy etc).
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 🎉
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hyper in curl needs a champion.
A backing vendor or distro that wants it.❤️
Why? Report after report: Memory un-safety. Is. BAD.
A #rustlang HTTP backend in #curl has potential to make the internet safer. 🦀
But it needs a champion to back it, or it will go away. 🚀
seanmonstar.com/blog/hyper-i...
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!
announcing augurs - a time series toolkit for Rust 📈
It took a while but I finally got round to polishing this to a point where I'm comfortable publishing it. Hopefully it's useful for someone out there!
sd2k.github.io/blog/announc...
