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tmm1/stackprof

a sampling call-stack profiler for ruby 2.2+ observed · 2026-08-28

github.com/tmm1/stackprof · Ruby · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

65/100

  • Activity 73
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 4710
  • days_rel: n/a
  • days_push: 162
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2192 stars · 136 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Stackprof is a sampling call-stack profiler for Ruby 2.2+ inspired by gperftools. It collects CPU, wall, object, and other profile samples with low overhead and provides CLI reporting including flamegraph generation.

Use cases

  • profile cpu usage of a ruby application
  • find slow methods in a rails app
  • generate flamegraphs from ruby stack samples
  • profile memory allocations in ruby
  • add sampling profiling middleware to a rack app
  • analyze which callers invoke a hot method

When to choose

  • you need low-overhead production or development profiling for Ruby 2.2+
  • you want flamegraph or per-method sample reports from a CLI
  • you need rack middleware to profile web requests

When to avoid

  • you are profiling non-Ruby code
  • you need a graphical profiler UI out of the box (see stackprof-webnav)
  • you are on a non-Linux OS

Facets

library · maturity stable

benchmarking monitoring developer-tools cli performance developer-tools backend ruby cli profiler sampling-profiler call-stack flamegraph rack-middleware linux

1 source

Member repositories

RepositoryRoleHealth v2
tmm1/stackprofmain65

For agents

markdown · JSON · MCP: product_card(name="tmm1/stackprof")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem