pandas agriyakhetarpal · COMPLETED
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
github.com/agriyakhetarpal/pandas · ★ 0 · Forks 0 · Size 338.0 MB
SUMMARY
Technologies 23
Scored 23
Observed 23
Practices 6
Evidence 24
Skips 0
COVERAGE
Analyzed 2511 files · 36151 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
3 files · PRODUCTION
C++ LANGUAGE Depth 70
12 files · PRODUCTION
Shell LANGUAGE Depth 70
5 files · PRODUCTION
C LANGUAGE Depth 70
12 files · PRODUCTION
XML LANGUAGE Depth 70
3 files · PRODUCTION
JSON LANGUAGE Depth 70
5 files · PRODUCTION
Markdown LANGUAGE Depth 70
29 files · PRODUCTION
TOML LANGUAGE Depth 70
2 files · PRODUCTION
YAML LANGUAGE Depth 70
50 files · PRODUCTION
Python LANGUAGE Depth 70
1537 files · PRODUCTION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
AWS SDK CLOUD Depth 58
1 files · PRODUCTION
Jinja2 LIBRARY Depth 66
2 files · PRODUCTION
MarkupSafe LIBRARY Depth 58
1 files · PRODUCTION
NumPy LIBRARY Depth 85
1025 files · PRODUCTION, TEST
PostgreSQL DATABASE Depth 76
3 files · CONFIGURATION, TOOLING
Redis CACHE Depth 84
8 files · CONFIGURATION
Requests LIBRARY Depth 62
2 files · PRODUCTION, TEST
SQLAlchemy LIBRARY Depth 74
4 files · PRODUCTION, TEST
TypeScript LANGUAGE Depth 78
55 files · PRODUCTION, TEST
lxml LIBRARY Depth 70
4 files · PRODUCTION
pandas LIBRARY Depth 85
1364 files · PRODUCTION, TEST
pytest TESTING Depth 81
897 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2009-07-31
Last commit 2025-05-18
Active months 191
Commits 36151