bloomberg/memray

Health v2 · maintenance only

Adoption not part of the score

15204 stars · 458 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Memray is a memory profiler for Python that tracks memory allocations in Python code, native C/C++ extension modules, and the interpreter itself. It generates reports such as flame graphs, supports live profiling, and integrates with pytest to catch memory regressions.

Use cases

• find memory leaks in a python application
• profile memory usage of python code
• track allocations in C extension modules
• generate flame graphs of memory allocations
• set memory limits per pytest test
• debug high memory usage in python service
• find allocation hotspots slowing down my program

When to choose

• you need full call-stack attribution of allocations, including native C/C++/Rust extensions
• you want flame graphs, live tracking, or per-test memory limits in pytest
• you are debugging memory leaks or high memory usage on Linux or macOS

When to avoid

• you need to profile on Windows or other unsupported platforms
• you only need CPU/time profiling rather than memory profiling
• you need a zero-overhead sampling profiler rather than tracing every allocation

Facets

cli-tool · maturity active

benchmarking monitoring developer-tools cli developer-tools performance python cli memory-profiler profiling memory-leak-detection flame-graphs pytest-plugin native-extensions command-line linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="bloomberg/memray")