Intro to Evidently

Day 75 of 100 Days of MLOps. You've hand-built drift and performance checks — now meet the tool that does it all for you. Evidently is the standard open-source ML monitoring library: point it at a reference dataset and a current one, and it computes drift for every column at once, with smart per-feature methods and clear verdicts. You'll generate your first report and watch it flag the two drifted columns while leaving the stable one alone — the concepts from Days 73–74, packaged. Runs 100% locally on any OS.