mud-pump-failure-forecasting blackprince001 · PARTIAL
ML pipeline predicting mud-pump failures from sensor data (XGBoost / Random Forest).
github.com/blackprince001/mud-pump-failure-forecasting · ★ 0 · Forks 0 · Size 23.8 MB
SUMMARY
Technologies 10
Scored 5
Observed 5
Practices 6
Evidence 11
Skips 5
COVERAGE
Analyzed 10 files · 3 commits · 0 API calls
TECHNOLOGIES & DEPTH
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
1 files · PRODUCTION
uv BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
Jinja2 LIBRARY Depth —
0 files · config only
MarkupSafe LIBRARY Depth —
0 files · config only
NumPy LIBRARY Depth —
0 files · config only
pandas LIBRARY Depth —
0 files · config only
typing_extensions LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-11-20
Last commit 2025-11-24
Active months 1
Commits 3