Energy-Demand-Forecasting-DevMLOps CoreyLeath-code · COMPLETED
Production-grade DevMLOps pipeline for smart grid energy demand forecasting. End-to-end automation with Airflow, DVC, Kubernetes, and CI/CD. Built for real-world impact
github.com/CoreyLeath-code/Energy-Demand-Forecasting-DevMLOps · ★ 4 · Forks 0 · Size 372 KB
SUMMARY
Technologies 15
Scored 15
Observed 15
Practices 6
Evidence 16
Skips 0
COVERAGE
Analyzed 107 files · 272 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
2 files · PRODUCTION
Terraform LANGUAGE Depth 70
2 files · PRODUCTION
JSON LANGUAGE Depth 70
3 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
12 files · PRODUCTION
YAML LANGUAGE Depth 70
35 files · PRODUCTION
Python LANGUAGE Depth 70
33 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Apache Kafka MESSAGE_BROKER Depth 73
3 files · CONFIGURATION
FastAPI FRAMEWORK Depth 70
3 files · PRODUCTION, TEST
NumPy LIBRARY Depth 81
16 files · PRODUCTION, TEST
PostgreSQL DATABASE Depth 57
1 files · CONFIGURATION
Pydantic LIBRARY Depth 58
1 files · PRODUCTION
pandas LIBRARY Depth 81
15 files · PRODUCTION, TEST
pytest TESTING Depth 45
3 files · TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-06-08
Last commit 2026-09-25
Active months 6
Commits 272