| openai / mle-bench MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering |
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12K py 2.3K yaml MJS 0.03K mjs
0.2K sh 0.1K gitignore 0.05K toml 0.04K py GITATTRIBUTES 0.01K gitattributes 0.01K dockerignore
8.8K md 4K txt 1.3K json 0.05K py 0.01K sh 0.01K gitignore
- json - csv - txt
13K py 8.8K md 4K txt 2.3K yaml 1.9K json 0.2K sh 0.1K gitignore 0.05K toml MJS 0.03K mjs GITATTRIBUTES 0.01K gitattributes 0.01K dockerignore
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| Standard analyses: | Main Code: 14,775 LOC (382 files) = PY (84%) + YAML (15%) + MJS (<1%) Secondary code: Test: 284 LOC (7); Generated: 590 LOC (1); Build & Deploy: 417 LOC (16); Other: 14,248 LOC (510); |
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| Duplication: 8% | |||
| File Size: 0% long (>1000 LOC), 86% short (<= 200 LOC) | |||
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Logical Component Decomposition: primary (6 components) | ||
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1 year, 8 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), 23% short (<= 10 LOC) | |||
| Conditional Complexity: 3% complex (McCabe index > 50), 40% simple (McCabe index <= 5) | |||
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Static Component Dependencies: primary (6 components) | ||
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Features of interest:
TODOs
1 file |
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Latest commit date: 2026-04-24
Reference analysis date: 2026-06-24
activity per month, week and day...Per MonthLatest commit date: 2026-04-24
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activity per month, week and day...Per MonthLatest commit date: 2026-04-24
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activity per month, week and day...Per MonthLatest commit date: 2026-04-24
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activity per month, week and day...Per MonthLatest commit date: 2026-04-24
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activity per month, week and day...Per MonthLatest commit date: 2026-04-24
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Per DayLatest commit date: 2026-04-24
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| MAIN (382) | Circles | Sunburst | |
| TEST (7) | Circles | Sunburst | |
| BUILD AND DEPLOYMENT (16) | Circles | Sunburst | |
| GENERATED (1) | Circles | Sunburst | |
| OTHER (510) | Circles | Sunburst |
File size views:
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| Components | Temporal Dependencies | Duplication | Commits Racing Charts | ||||||||||
| 30 days | 3 months | 6 months | |||||||||||
| PRIMARY (6) | Bubble Chart | Tree Map |
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All Time | 12 Months | |||
Temporal dependencies among files:
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Unit size and conditional complexity views:
Generative AI tools, like ChatGPT or Gemini, can help you explore and discuss various aspects of source code repositories using simple prompts and file uploads. Sokrates provides you with curated data that you can use to analyze your source code further.
generated by sokrates.dev (configuration) on 2026-06-24