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brew

Install snakeviz with Homebrew

Web-based viewer for Python profiler output. Version 2.2.2 via Homebrew; verified 2026-06-13.

install

Additional install commands

macOS

Homebrewverified · 100%
brew install snakeviz

local Homebrew formula metadata

overview

Package summary

Web-based viewer for Python profiler output

Commands and aliases

  • snakeviz

history

Project history and usage

SnakeViz is a browser-based graphical viewer for Python cProfile output and an alternative to inspecting profiles with pstats.

Project history

The official repository was created in June 2012. The documentation says SnakeViz was originally inspired by RunSnakeRun and now supports Python 3.9+, with older SnakeViz versions likely to work on Python 2.7.

Adoption history

SnakeViz is available from PyPI according to its official docs and from Homebrew in the supplied metadata. Its GitHub repository has accumulated thousands of stars, reflecting long-term use among Python developers who want visual profile inspection.

How it is used

Users generate a cProfile output file, then run snakeviz program.prof to open an interactive browser view. It can also profile IPython code through line and cell magics.

Why package nerds care

SnakeViz is a classic small Python developer tool: a single CLI opens local web UI visualizations for standard-library profile data, making it easy for package maintainers to inspect performance without adopting a heavier profiling stack.

Timeline

  • 2012: Official GitHub repository created.
  • 2026: Official docs describe Python 3.9+ support and older Python 2.7 compatibility only for older releases.

Related projects

  • Python cProfile
  • Python pstats
  • RunSnakeRun
  • IPython

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 post-install hook is recorded in formula metadata.
  • Homebrew bottle metadata is available for 6 platform targets.
  • Installs with 1 runtime dependencies.

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
snakevizcliglobal executable

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 generated2026-07-08
manager version2.2.2
manager updated2026-06-13
local dataok
upstreamnot checked
latest detectednot detected

https://jiffyclub.github.io/snakeviz/

install metadata

Package metadata

Package keybrew:snakeviz
Version2.2.2
Package managerHomebrew
Package manager pagehttps://formulae.brew.sh/formula/snakeviz
Homepagehttps://jiffyclub.github.io/snakeviz/
Repositoryhttps://github.com/jiffyclub/snakeviz
Upstream docshttps://jiffyclub.github.io/snakeviz
LicenseBSD-3-Clause
Source archivehttps://files.pythonhosted.org/packages/04/06/82f56563b16d33c2586ac2615a3034a83a4ff1969b84c8d79339e5d07d73/snakeviz-2.2.2.tar.gz
Last updated2026-06-13T10:09:37Z
Pulseupdated
Dependenciespython@3.14
Bottleavailable (on arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-installnot defined
Servicenone declared

registry facts

Source database details

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Namesnakeviz
Version Scheme0
Revision4
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • stable

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
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated package history
  • package relationship graph
  • package version freshness
  • package-page enrichment