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mlop

Open source platform for ML engineers to track metrics, parameters, and gradients in real-time. Features Git integration, alerts, and seamless workflo

Open Source Alternative to:
Screenshot of mlop

Open source platform for ML engineers to track metrics, parameters, and gradients in real-time. Features Git integration, alerts, and seamless workflow integration.

It is positioned as an open-source alternative to Weights and Biases.

Primary category: Machine Learning Infrastructure.

Detected stack: JavaScript, Github Actions, NodeJS, CSS, Bash, React.

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What is mlop?

mlop is an open source project listed in the OpenAlternative directory. It is useful for teams comparing software options, evaluating self-hosted tools, and replacing proprietary services with transparent alternatives.

Alternative use case

mlop can be considered when you are looking for open source alternatives to tools such as Weights and Biases.

Technology stack

mlop is associated with technologies including Bash, CSS, Docusaurus, Github Actions, JavaScript, NodeJS, npm, Python, which can help developers understand how it fits into an existing engineering stack.