mlop-ai/server

Serving Next Generation Experimental Tracking for Machine Learning Operations

40
/ 100
Emerging

This self-hosted server helps machine learning engineers and data scientists track, store, analyze, and visualize the experiments from their machine learning models. It takes in experiment data from MLOP clients or other platforms and provides a web interface to explore results, along with robust data storage. This is for individuals managing their own ML development infrastructure.

Use this if you need a private, secure, and fully controlled environment to manage your machine learning experiment data without relying on external cloud services.

Not ideal if you require enterprise-grade scalability, dedicated support, or prefer a managed service for your experimental tracking.

machine-learning-operations experiment-tracking ML-infrastructure data-science-workflow model-development
No Package No Dependents
Maintenance 10 / 25
Adoption 5 / 25
Maturity 15 / 25
Community 10 / 25

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Stars

14

Forks

2

Language

Shell

License

Apache-2.0

Last pushed

Mar 05, 2026

Commits (30d)

0

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