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Install wzprof with Homebrew

Profiling for Wazero. Version 0.2.0 via Homebrew; verified 2026-07-25.

install

Additional install commands

macOS

Homebrewverified · 100%
brew install wzprof

local Homebrew formula metadata

overview

Package summary

Profiling for Wazero

Commands and aliases

  • wzprof

history

Project history and usage

wzprof is a pprof-compatible profiler for WebAssembly programs running on the wazero runtime. It is a niche developer tool, but a meaningful one for the Go and WebAssembly packaging ecosystem because it brings familiar Go profiling workflows to guest Wasm modules.

Project history

The project README describes wzprof as a profiler built on top of wazero, able to collect CPU and memory profiles while WebAssembly modules execute. It was presented publicly in the WebAssembly and cloud-native conference circuit, including Civo Navigate Europe 2024 and KubeCon + CloudNativeCon India 2024.

wzprof sits on top of wazero's trajectory as a pure-Go, zero-dependency WebAssembly runtime. Wazero's own history page says it began as Takeshi Yoneda's hobby project in mid-2020 and became a Tetrate-sponsored top-level project in late 2021; wzprof builds on that runtime rather than implementing a separate Wasm engine.

How it is used

Users can run wzprof as a CLI against a Wasm binary to emit CPU or memory profile files, then inspect them with the standard go tool pprof workflow. Library users can integrate the profilers with a wazero.Runtime through wazero's experimental function-listener hooks.

The tool supports pprof-style CPU samples, on-CPU time, memory allocation tracing for selected allocation functions, DWARF symbolization for C/Rust/Zig-style modules, and special stack handling for Go 1.21+ and debug-symbol CPython 3.11 guests.

Why package nerds care

wzprof matters to package nerds because it is a small example of WebAssembly's tooling stack becoming more like native language ecosystems: not just runtimes and compilers, but profilers, symbols, heap views, and workflows that integrate with existing developer muscle memory.

Timeline

  • 2020: wazero begins as a hobby project, according to wazero's official history.
  • 2021: Tetrate sponsors wazero as a top-level project.
  • 2023: wzprof publishes early releases and documents pprof-compatible CPU and memory profiling for WebAssembly.
  • 2024: wzprof is presented at Civo Navigate Europe and KubeCon + CloudNativeCon India.

Related projects

  • wazero is the underlying Go WebAssembly runtime. google/pprof is the profile visualization and analysis tool whose workflow wzprof targets.

security posture

Risk level: green

narrow executable package without higher-risk signals.

Risk classifier

green risk · low confidence · appliance

Why

  • narrow executable package without higher-risk signals

Signals

  • metadata:no-higher-risk-signals

Install behavior

  • No Homebrew bottle metadata was recorded.

Recommended review

Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.

executables

Installed executables

CommandKindExposureNote
wzprofexecutableindexed executableDiscovered from the local executable index.

freshness

Version and freshness

These signals separate page generation age, package-manager activity, and upstream release comparison. Version lag is warned only when an evidence URL and comparable versions are present.

page generated2026-08-03
manager version0.2.0
manager updated2026-07-25
local dataunknown
upstreamnot available
latest detectednot detected
  • okNo freshness warnings were generated.

install metadata

Package metadata

Package keybrew:wzprof
Version0.2.0
Package managerHomebrew
Homepagehttps://github.com/dispatchrun/wzprof
Repositoryhttps://github.com/dispatchrun/wzprof
Last updated2026-07-25T22:40:22+02:00
Pulseupdated
Bottlenot recorded
Servicenone declared

source trail

Generated from repository data

This page is generated by av-web from the private package SQLite artifact built by scripts/generate-pkg-sqlite.py.

Used sources

  • Geiger risk classifier
  • cross-ecosystem install command graph
  • curated package history
  • pkg.so package database
  • pkgdb category and tag curation