modelfox

Why we included this project

ModelFox is a single tool that covers the whole training-to-monitoring loop, so a small team can go from a flat CSV file to a deployed, observed model without wiring together several separate services. The CLI handles feature transformation and trains a batch of linear and gradient-boosted models, saving the best one as a self-contained artifact you load from your own application code. Predictions run through a native Rust engine, which keeps them fast and on your own machine rather than behind a hosted API. Once the model is live, the bundled browser app shows feature importance, test-set metrics, per-prediction explanations, and data-drift and performance alerts, so production behavior is something you watch rather than guess at. That makes it a natural fit for developers who want one tool for the job, with prediction clients for Python, Go, JavaScript, Ruby, Elixir, PHP, and Rust.