graph-data-science EbiAraz · COMPLETED
Source code for the Neo4j Graph Data Science library of graph algorithms.
github.com/EbiAraz/graph-data-science · ★ 0 · Forks 0 · Size 98.4 MB
SUMMARY
Technologies 22
Scored 22
Observed 22
Practices 6
Evidence 22
Skips 0
COVERAGE
Analyzed 5634 files · 25876 commits · 0 API calls
TECHNOLOGIES & DEPTH
Java LANGUAGE Depth 70
4898 files · PRODUCTION
Rust LANGUAGE Depth 70
1 files · PRODUCTION
XML LANGUAGE Depth 70
8 files · PRODUCTION
JavaScript LANGUAGE Depth 70
2 files · PRODUCTION
JSON LANGUAGE Depth 70
3 files · PRODUCTION
Gradle LANGUAGE Depth 70
143 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
17 files · PRODUCTION
YAML LANGUAGE Depth 70
3 files · PRODUCTION
SQL LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
3 files · PRODUCTION
npm BUILD_TOOL Depth 80
1 files · CONFIGURATION
Gradle BUILD_TOOL Depth 80
1 files · CONFIGURATION
Express FRAMEWORK Depth 40
1 files · PRODUCTION
JUnit TESTING Depth 85
1149 files · PRODUCTION, TEST
Jackson LIBRARY Depth 74
20 files · PRODUCTION, TEST
Mockito TESTING Depth 64
77 files · TEST
NumPy LIBRARY Depth 47
1 files · CONFIGURATION
Redis CACHE Depth 88
13 files · CONFIGURATION
Spring Framework FRAMEWORK Depth 100
393 files · CONFIGURATION, PRODUCTION, TEST
TypeScript LANGUAGE Depth 100
1029 files · CONFIGURATION, PRODUCTION, TEST
debug LIBRARY Depth 66
2 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2017-02-17
Last commit 2026-08-03
Active months 115
Commits 25876