performance-profiling

CPU profiling identifies bottlenecks by measuring function execution time and call frequency. Use cProfile to capture which functions consume the most processor time, then analyze results with pstats to pinpoint hot paths requiring optimization.

Memory profiling tracks heap allocation line-by-line and across your entire application. memory_profiler and tracemalloc reveal which functions or code sections allocate excessive memory, helping you identify leaks and optimize memory-intensive operations.

Async profiling applies CPU and memory profiling techniques to asyncio-based applications, capturing coroutine execution time and resource consumption. This identifies bottlenecks in concurrent tasks without disrupting async scheduling.

Benchmarking measures execution time across alternative implementations using timeit and profiling decorators. Line-level and function-level profiling reveals which variant performs better under specific conditions, guiding optimization choices.

Profiling results integrate with cProfile and pstats for structured data export and reporting. This enables bottleneck analysis across development, staging, and production environments with persistent records for trend tracking.

Profiling supports both decorator-based and context-manager approaches for minimal code intrusion. Decorators attach profiling to specific functions; context managers wrap code blocks, enabling targeted analysis without rewriting your entire application.