mlop
mlop.aiThe MLOps platform built for the modern teams
AI Toolsmlopsexperiment-trackingmachine-learningopen-sourcemodel-monitoringweights-and-biasesdeveloper-tools
About
mlop is an open-source MLOps platform for tracking, optimizing, and collaborating on machine learning experiments. It offers real-time monitoring of model parameters, gradients, and performance metrics, along with reproducibility tracking and Git status integration. The platform is 100% API-compatible with Weights & Biases, making migration straightforward, and is backed by Y Combinator.
Problem
ML teams struggle to track, reproduce, and collaborate on machine learning experiments in a unified platform.
For
machine learning engineers and data science teams
How it works
Users integrate the mlop Python SDK into their training code to log metrics, parameters, and artifacts in real-time, with all data visualized on a centralized dashboard.
Business model
freemium
Status
launched