NVIDIA/auto-ontology

Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows.

Python★ 5,556+2,050 that day#1 on trending

Analyzed November 5, 2026 at 2a24f5d (main) with jscpd v5 in 2.0s.

B72.4/100
Project health188,537 lines of code (L)
Duplication83
2.3% in python, tsx, sql, typescript, docker, bash, makefile, javascript
Dead code90
1.2%
Complexity52
47.3%

The score is jscpd's own --health model: markup, data and text left out, tests kept. The numbers below are the trending scan's.

2.12%duplicated code · 2,649 of 124,801 lines
243clones in code
599code files of 885 scanned
14.28%duplicated over all files · 776 clones

The code number leaves out tests, fixtures, docs, examples, data files, styles, translations and vendored code, and 3 generated files: alembic/versions/6347ede6dac1_add_pii_processed_to_catalog_columns.py, frontend/app/settings/rules/RuleAuthor.tsx, frontend/lib/tagAuthors.ts.

Largest clones in the code

7 more
Largest clones over all files, tests and data included
By format, code only
FormatFilesLinesClonesDuplicated linesDuplication
python26082,1301761,8302.23%
tsx13728,211425141.82%
typescript19914,277253052.14%
bash2140000%
javascript143000%
By format, all files
FormatFilesLinesClonesDuplicated linesDuplication
json1747,47634229,35761.84%
python429129,1333153,5452.75%
tsx13828,250435271.87%
markdown394,6833193820.03%
typescript20114,443253052.11%
yaml363,101152698.67%
docker33902174.36%
smarty116621911.45%
sql215,992190.06%
css1475000%

Trending appearances

DayRankStarsFilesLinesClonesAll filesCodeHealthCommit
Nov 5, 2026#15,556 (+2,050)885244,95277614.28%2.12%B 72.42a24f5d

Want this for your own project? Install jscpd and run jscpd ., or measure it the way the baselines were measured.