kglab¶
Graph-Based Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.
Logo |
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Website |
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Repository |
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Byline |
A simple abstraction layer in Python for building knowledge graphs |
License |
MIT |
Project age |
2 years 1 months |
Backers |
Personal Project (Creator and maintainer) |
Size score (1 to 10, higher is better) |
4.75 |
Trend score (1 to 10, higher is better) |
5.0 |
Education Resources¶
URL |
Resource Type |
Description |
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Documentation |
Official project documentation. |
Git Commit Statistics¶
Statistics computed using Git data through November 30, 2022.
Statistic |
Lifetime |
Last 12 Months |
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Commits |
10,561 |
1,347 |
Lines committed |
58,341,054 |
921,515 |
Unique committers |
17 |
10 |
Core committers |
3 |
4 |
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