demml/scouter

Monitoring, Evaluation and Observability for AI Applications

35
/ 100
Emerging

This tool helps machine learning engineers and AI developers ensure their deployed AI applications and models are performing as expected. It monitors the quality of incoming data, tracks model performance metrics, and evaluates AI agent behavior in production. You feed it your model's input and output data, and it provides real-time alerts and detailed insights into potential issues.

Use this if you need a comprehensive, single solution for monitoring the health and performance of your production machine learning models and AI agents.

Not ideal if you are looking for a general-purpose application monitoring tool not specifically focused on AI/ML workflows.

MLOps AI Development Model Monitoring Data Drift Agent Evaluation
No Package No Dependents
Maintenance 10 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 0 / 25

How are scores calculated?

Stars

11

Forks

Language

Rust

License

MIT

Last pushed

Mar 13, 2026

Monthly downloads

44

Commits (30d)

0

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