| openai / whisper Robust Speech Recognition via Large-Scale Weak Supervision |
 2.9K py  1K ipynb  0.03K yaml IN 0.01K in
0.2K py
 0.05K toml  0.01K gitignore GITATTRIBUTES 0.01K gitattributes
 8.5K svg  1.7K json  0.3K md  0.01K txt
- json - yaml TIKTOKEN - tiktoken - txt - ipynb - py NPZ - npz FLAKE8 - flake8
8.5K svg 3.2K py 1.7K json 1K ipynb 0.3K md 0.05K toml 0.03K yaml 0.01K gitignore 0.01K txt IN 0.01K in GITATTRIBUTES 0.01K gitattributes
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| Standard analyses: | Main Code: 3,931 LOC (17 files) = PY (74%) + IPYNB (24%) + YAML (<1%) + IN (<1%) Secondary code: Test: 225 LOC (6); Generated: 0 LOC (0); Build & Deploy: 59 LOC (3); Other: 10,508 LOC (7); |
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| Duplication: 10% | |||
| File Size: 0% long (>1000 LOC), 9% short (<= 200 LOC) | |||
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Logical Component Decomposition: primary (3 components) | ||
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3 years, 9 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: 19% long (>100 LOC), 42% short (<= 10 LOC) | |||
| Conditional Complexity: 11% complex (McCabe index > 50), 40% simple (McCabe index <= 5) | |||
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Static Component Dependencies: primary (3 components) | ||
Overall Activity Per Year
Latest commit date: 2026-04-15
Reference analysis date: 2026-06-24
activity per month, week and day...Per MonthLatest commit date: 2026-04-15
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activity per month, week and day...Per MonthLatest commit date: 2026-04-15
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activity per month, week and day...Per MonthLatest commit date: 2026-04-15
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activity per month, week and day...Per MonthLatest commit date: 2026-04-15
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activity per month, week and day...Per MonthLatest commit date: 2026-04-15
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