pythonprofilers/memory_profiler
Memory Profiler
This project is a diagnostic utility for monitoring and analyzing memory consumption in Python applications. It provides tools for tracking resource usage at the process level and performing detailed, line-by-line analysis to identify memory leaks and performance bottlenecks.
The tool distinguishes itself through its ability to aggregate memory metrics across entire process trees, capturing the total resource impact of both parent and child processes. It supports time-series visualization of memory usage over the duration of a script, allowing for the identification of long-term consumption patterns and unexpected resource spikes. Users can configure the underlying measurement methods to ensure accurate data collection across different operating systems and execution environments.
Beyond standard profiling, the software includes capabilities for automated memory debugging by allowing users to set specific resource thresholds. When these limits are exceeded, the tool can trigger an interactive debugger to pause execution and facilitate real-time troubleshooting. It also supports programmatic querying of memory statistics and integrates directly into interactive command environments for rapid benchmarking without requiring modifications to source code.
