| openai / openai-knowledge-retrieval OS repo for Knowledge Retrieval starter kit |
 4.9K py  0.8K yaml  0.6K tsx  0.4K ts  0.04K js  0.02K css  0.01K html  0.01K cjs
0.2K ts 0.07K py
 0.09K toml  0.06K gitignore EDITORCONFIG 0.01K editorconfig
 5.4K txt  5K json  0.4K md
EXAMPLE - example
9.9K json 5.4K txt 5K py 0.8K yaml 0.6K ts 0.6K tsx 0.4K md 0.09K toml 0.06K gitignore 0.04K js 0.02K css 0.01K html EDITORCONFIG 0.01K editorconfig 0.01K cjs
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npm
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| Standard analyses: | Main Code: 6,889 LOC (88 files) = PY (71%) + YAML (12%) + TSX (8%) + TS (6%) + JS (<1%) + CSS (<1%) + HTML (<1%) + CJS (<1%) Secondary code: Test: 251 LOC (2); Generated: 4,912 LOC (1); Build & Deploy: 157 LOC (4); Other: 10,774 LOC (37); |
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| Duplication: 17% | |||
| File Size: 0% long (>1000 LOC), 60% short (<= 200 LOC) | |||
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Logical Component Decomposition: primary (13 components) | ||
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7 months old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
| Experimental analyses (less reliable heuristic analyses): | |||
| Unit Size: 14% long (>100 LOC), 38% short (<= 10 LOC) | |||
| Conditional Complexity: 16% complex (McCabe index > 50), 42% simple (McCabe index <= 5) | |||
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Static Component Dependencies: primary (13 components) | ||
Overall Activity Per Year
Latest commit date: 2026-01-13
Reference analysis date: 2026-06-24
activity per month, week and day...Per MonthLatest commit date: 2026-01-13
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activity per month, week and day...Per MonthLatest commit date: 2026-01-13
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activity per month, week and day...Per MonthLatest commit date: 2026-01-13
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activity per month, week and day...Per MonthLatest commit date: 2026-01-13
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activity per month, week and day...Per MonthLatest commit date: 2026-01-13
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