# DataDog/go-profiler-notes

felixge's notes on the various go profiling methods that are available.

Repository: https://github.com/DataDog/go-profiler-notes
Canonical: https://ross.abutalabs.com/products/go-profiler-notes
Language: Jupyter Notebook
License: CC-BY-SA-4.0
License Family: other
Topics: pprof, profiling, go, golang
Last push: 2026-08-26T19:14:30+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 2064, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3665, forks 218 (observed 2026-08-28T04:08:13.363327+00:00)

## What it is
A collection of in-depth notes by felixge on Go's profiling methods, including the pprof tool and format, stack traces, goroutine, and block profiling. It serves as educational documentation rather than a software tool.

## Use cases
- understand how go pprof profiling works
- learn to read pprof profile data
- debug goroutine leaks with profiling
- understand block and mutex profiling in go
- learn about go stack traces
- find resources on go profiling and observability

## When to choose
- you want to deeply understand go profiling internals
- you are learning to use pprof and interpret its output
- you need a curated reference of go profiling resources

## When to avoid
- you need an actual profiling tool or library to run
- you need profiling for languages other than go
- you need complete coverage of heap, cpu, or wallclock profiling, which are still marked as coming soon

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: benchmarking, monitoring, developer-tools, documentation
- domain: developer-tools, performance, tutorials, documentation
- platform: go, cross-platform
- tags: pprof, profiling, golang, notes, observability, cpu-profiling, heap-profiling, goroutine-profiling

## Member repositories
- DataDog/go-profiler-notes (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:13.363327+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:31:33.188788+00:00, confidence not recorded.
  - readme: https://github.com/DataDog/go-profiler-notes (fetched 2026-08-28T04:08:13.363327+00:00, sha 1d71cb359da2)
- Data as of 2026-08-30T08:39:29.467469+00:00.