ML-Docker-Orchestrator-with-full-MLops-pipeline CoreyLeath-code · PARTIAL
A containerized machine learning deployment pipeline using FastAPI, Docker Compose, and GitHub Actions
github.com/CoreyLeath-code/ML-Docker-Orchestrator-with-full-MLops-pipeline · ★ 8 · Forks 0 · Size 312 KB
SUMMARY
Technologies 22
Scored 16
Observed 16
Practices 6
Evidence 25
Skips 6
COVERAGE
Analyzed 76 files · 228 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
2 files · PRODUCTION
Shell LANGUAGE Depth 70
6 files · PRODUCTION
Terraform LANGUAGE Depth 70
1 files · PRODUCTION
JSON LANGUAGE Depth 70
2 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
10 files · PRODUCTION
YAML LANGUAGE Depth 70
23 files · PRODUCTION
Python LANGUAGE Depth 70
20 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
npm BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
Black QUALITY Depth —
0 files · config only
FastAPI FRAMEWORK Depth 77
4 files · PRODUCTION, TEST
HTTPX LIBRARY Depth —
0 files · config only
NumPy LIBRARY Depth 70
3 files · PRODUCTION
Pydantic LIBRARY Depth 66
2 files · PRODUCTION
Requests LIBRARY Depth 18
1 files · TEST
Ruff QUALITY Depth —
0 files · config only
Uvicorn LIBRARY Depth —
0 files · config only
mypy QUALITY Depth —
0 files · config only
pandas LIBRARY Depth 74
4 files · PRODUCTION
pytest TESTING Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-06-17
Last commit 2026-09-25
Active months 10
Commits 228