| openai / evals Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks. |
 29K py  8.2K yaml JSONL 1.9K jsonl  1.3K ipynb  0.3K html  0.1K js IN 0.01K in
2.4K py 0.1K yaml JSONL 0.05K jsonl
 0.8K sh  0.06K toml  0.03K gitignore GITATTRIBUTES 0.01K gitattributes
 2.3K md  1.7K txt 0.7K ipynb  0.3K json INI 0.04K ini
- py - md - yaml  - png  - csv - json PYI - pyi TYPED - typed - txt - ipynb - sh - html LOG - log JSONL - jsonl DS_STORE - ds_store
32K py 8.3K yaml 2.3K md 2K ipynb JSONL 2K jsonl 1.7K txt 0.8K sh 0.3K html 0.3K json 0.1K js 0.06K toml INI 0.04K ini 0.03K gitignore GITATTRIBUTES 0.01K gitattributes IN 0.01K in
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| Standard analyses: | Main Code: 41,212 LOC (1492 files) = PY (71%) + YAML (19%) + JSONL (4%) + IPYNB (3%) + HTML (<1%) + JS (<1%) + IN (<1%) Secondary code: Test: 2,590 LOC (52); Generated: 0 LOC (0); Build & Deploy: 875 LOC (42); Other: 4,967 LOC (79); |
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| Duplication: 13% | |||
| File Size: 5% long (>1000 LOC), 66% short (<= 200 LOC) | |||
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Logical Component Decomposition: primary (4 components) | ||
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3 years, 3 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: 0% long (>100 LOC), 59% short (<= 10 LOC) | |||
| Conditional Complexity: <1% complex (McCabe index > 50), 67% simple (McCabe index <= 5) | |||
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Static Component Dependencies: primary (4 components) | ||
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Features of interest:
TODOs
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Overall Activity Per Year
Latest commit date: 2026-04-14
Reference analysis date: 2026-06-24
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