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Python tools for analyzing Instruments traces and performance data
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Basierend auf der SOC-Berufsklassifikation
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| name | performance-profiler-tools |
| description | Python tools for analyzing Instruments traces and performance data |
| type | skill |
| language | python |
Analyze Instruments trace files and performance data.
instruments_analyzer.py - Parse Instruments traces
# Analyze trace
./instruments_analyzer.py analyze app.trace
# Compare traces
./instruments_analyzer.py compare --baseline baseline.trace --current current.trace
# Find hot paths
./instruments_analyzer.py hotpaths app.trace --threshold 5%
# Memory analysis
./instruments_analyzer.py memory app.trace
Performance Analysis
===================
Total Time: 2.45s
Top Methods:
1. drawRect: (456ms, 18.6%)
2. calculateStatistics (234ms, 9.5%)
3. readFromStore (198ms, 8.1%)
Recommendations:
- Cache drawRect results
- Optimize calculateStatistics algorithm
- Add index to database query
performance-profiler agent (launches Instruments)