Hub pranavdurai10 · COMPLETED
The fastest way to access and manage datasets for PyTorch and TensorFlow. Easily build scalable data pipelines. Leading Data 2.0 http://activeloop.ai
github.com/pranavdurai10/Hub · ★ 0 · Forks 0 · Size 5.2 MB
SUMMARY
Technologies 15
Scored 15
Observed 15
Practices 6
Evidence 16
Skips 0
COVERAGE
Analyzed 217 files · 1556 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
1 files · PRODUCTION
JSON LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
29 files · PRODUCTION
YAML LANGUAGE Depth 70
7 files · PRODUCTION
Python LANGUAGE Depth 70
139 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
AWS SDK CLOUD Depth 66
3 files · PRODUCTION, TEST
Click LIBRARY Depth 74
5 files · PRODUCTION
NumPy LIBRARY Depth 85
61 files · PRODUCTION, TEST
Redis CACHE Depth 69
2 files · CONFIGURATION
Requests LIBRARY Depth 58
1 files · PRODUCTION
TypeScript LANGUAGE Depth 53
1 files · PRODUCTION
pandas LIBRARY Depth 58
1 files · PRODUCTION
pytest TESTING Depth 53
13 files · TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2019-08-09
Last commit 2021-01-22
Active months 17
Commits 1556