edge-mlops-monitor Edmon02 · COMPLETED
A lightweight, resource-efficient MLOps monitoring solution for machine learning models deployed on edge devices. Features system health tracking, model I/O logging, drift detection, and cloud telemetry.
github.com/Edmon02/edge-mlops-monitor · ★ 0 · Forks 0 · Size 108 KB
SUMMARY
Technologies 10
Scored 10
Observed 10
Practices 6
Evidence 12
Skips 0
COVERAGE
Analyzed 31 files · 6 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
7 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
SQL LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
14 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
AWS SDK CLOUD Depth 58
1 files · PRODUCTION
pytest TESTING Depth 56
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-05-31
Last commit 2025-05-31
Active months 1
Commits 6