CLUSTER PERFORMANCE-LEAKS-MEMORY · 7 ENTRIES · EARLIEST ENTRY 2016-02-01

Performance profiling and memory debugging tools

This cluster comprises developer tools for profiling performance and memory usage, identifying bottlenecks and leaks. The dated history shows a few early entries in 2016, a long gap, then a single entry in 2024 and two in early 2026. Traction leaders are KCachegrind, Massif-Visualizer, and python-pympler, each with zero stars.

Entry timeline

ENTRY TIMELINE

FEB 2016: 1SEP 2016: 1APR 2024: 1APR 2026: 2SEP 2026: 2
FEB 2016SEP 2026

Members by activity

Activity signals, not revenue.

Build origin · 2 hand-coded · 5 unlabelled

Operator · 1 hobby · 1 enterprise · 5 open source

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 7 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01procmem2★8 days—hobbyCommand-line utility that reports combined memory usage of matching processes and their descendants on Windows.
  2. 02Massif-Visualizer0★3 moliveopen sourceDeveloper tool that visualizes memory profiling data from profiler outputs, displaying memory consumption over time and snapshot details for debugging.
  3. 03KCachegrind0★3 molivehand-codedopen sourceVisualize profiling data from Valgrind to identify performance bottlenecks in applications.
  4. 04python-pympler0★2 yrabandonedliveopen sourceDevelopment tool that measures memory usage of Python objects to detect leaks and optimize application performance.
  5. 05pyvmmonitor0★6 yrabandonedlivehand-codedopen sourceDeveloper tool that profiles Python programs and identifies performance bottlenecks in execution.
  6. 06Arm Performix0★unknownliveenterpriseDeveloper tool that analyzes application performance on Arm servers and identifies optimization opportunities.
  7. 07python-memory-profiler0★9 mostaleliveopen sourceMonitors memory usage of software programs to identify leaks and optimize performance.