mlop

mlop

MLOP is an open-source platform for tracking, optimizing, and collaborating on machine learning experiments, designed for modern teams.

Free + paidWebAPI
Visit websitemlop.ai
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Overview

MLOP is an open-source platform for tracking, optimizing, and collaborating on machine learning experiments, designed for modern teams. It provides tools for tracking model accuracy and performance metrics over time, as well as real-time monitoring of model parameters and gradients. The platform also tracks experiment versions, uncommitted files, and Git status to ensure reproducibility. Users benefit from real-time alerts regarding model performance and seamless integration with existing code bases. The tool is 100% compatible with the Weights & Biases API for easy migration. It offers a free tier for personal use or small teams with unlimited logging hours and 10GB storage, alongside customizable paid plans for businesses and large-scale organizations.

Key features

  • Experiment tracking and model performance monitoring
  • Real-time parameter and gradient tracking
  • Git status and uncommitted file tracking
  • 100% Weights & Biases API compatibility
  • Real-time alerts for critical performance issues

Pricing

Free + paid
View pricing page

Verified on:

Use cases

  • Tracking model accuracy and performance metrics
  • Monitoring real-time parameters and gradients
  • Managing experiment reproducibility with Git integration
  • Migrating from Weights & Biases using compatible API

Who it is for

Modern ML teamsDevelopers

Integrations

PyTorchPyTorch LightningHugging FaceWeights & BiasesGitDocker

Tags

API

How we verified this

Company, pricing, and feature details come from the primary sources below and our latest verification pass. When sources disagree, the official source and the most recent check win.

Last verified 09/10/2026Verified sources: 1

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