mlop
A modern, open-source platform for tracking, optimizing, and collaborating on machine learning experiments with real-time monitoring and alerts.
mlop is an open-source alternative to:
mlop
The open source platform for tracking, optimizing, and collaborating on machine learning experiments.
Built for modern ML teams, mlop provides experiment tracking, parameter and gradient monitoring, real-time alerts, and seamless integration with your development workflow. Compatible with Weights & Biases API for easy migration.
Key Features
- Experiment Tracking: Monitor model accuracy, performance metrics, and training progress over time
- Parameter & Gradient Tracking: Track model parameters and gradients in real-time with visualizations
- Reproducibility: Track experiments, model versions, and uncommitted files in real-time
- Real-time Alerts: Receive email notifications and critical issue alerts about model performance
- Multi-media Tracking: Log images, videos, and other media alongside metrics
- Git Integration: Automatic tracking of Git status and uncommitted changes
- Weights & Biases Compatibility: 100% API compatible for easy migration
- Open Source: Community-driven development with enterprise features
Tech / Self-Hosting
mlop is open source and can be self-hosted. The platform is built for scalability and integrates seamlessly with existing ML pipelines and development workflows. For more information, visit the GitHub repository.