aws-samples / amazon-rekognition-engagement-meter
The Engagement Meter calculates and shows engagement levels of an audience participating in a meeting
Summary
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| Main Code: 1,694 LOC (22 files) = JS (49%) + YAML (47%) + HTML (1%) + YML (<1%) + CSS (<1%) | |||
| Duplication: 27% | |||
| File Size: 0% long (>1000 LOC), 52% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 36% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 72% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (7 components) | ||
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3 years, 2 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) | |||
Latest commit date: 2021-12-07
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