| name | performance-profiler-tools |
| description | Python tools for analyzing Instruments traces and performance data |
| type | skill |
| language | python |
Performance Profiler Tools
Analyze Instruments trace files and performance data.
Capabilities
- Parse Instruments .trace files
- Extract Time Profiler data
- Analyze Allocations data
- Generate performance reports
- Compare trace files
- Identify performance regressions
- Calculate time percentages
- Find memory growth patterns
Tools
instruments_analyzer.py - Parse Instruments traces
Commands
# 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
Output
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
Complements
performance-profiler agent (launches Instruments)