ai-drental-db powernusa · PARTIAL
Fully reproducible analytics environment for a rental database, powered by Dockerized PostgreSQL and a Python/Jupyter analytics container. Includes automated DB restore, SQL/Pandas KPI logic (e.g., Top Customers, Revenue KPIs), and a planned AI agent to answer natural-language questions over the database. Target completion: 31 Jan 2026.
github.com/powernusa/ai-drental-db · ★ 0 · Forks 0 · Size 802 KB
SUMMARY
Technologies 10
Scored 8
Observed 8
Practices 6
Evidence 11
Skips 2
COVERAGE
Analyzed 34 files · 33 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
2 files · PRODUCTION
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
3 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
PostgreSQL DATABASE Depth 73
3 files · CONFIGURATION
SQLAlchemy LIBRARY Depth —
0 files · config only
pandas LIBRARY Depth 58
1 files · PRODUCTION
python-dotenv LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-12-11
Last commit 2026-01-31
Active months 2
Commits 33