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/ 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.

/ 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.

/ Who it's for /

machine learning engineers and data science teams

/ More info /

Background.

Status
launched
Business model
freemium
/ Discovered patterns /

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