Rust

augurs is a new library for time series analysis (think forecasting, outlier detection, clustering, and more) written in Rust, with bindings available for Javascript and Python. It includes functionality borrowed from both Python and R libraries, plus some more novel ideas. Come and learn about what it can do, as well as:

• choices made when porting algorithms from different languages
• techniques used for profiling and optimizing ML code in Rust
• tradeoffs when creating Javascript/WebAssembly bindings
• what kind of performance and usability gains to expect