# snakeviz mit Homebrew installieren

Prüfe Installationswege, Executables, Metadaten und Sicherheitshinweise für snakeviz in AI-Agent-Workflows.

## Installation

```sh
sudo av install brew:snakeviz
```

Weitere Installationsbefehle:

### macOS

- Homebrew (100%):

```sh
brew install snakeviz
```

  Evidenz: local Homebrew formula metadata

## Paketfakten

- **Paketschlüssel:** brew:snakeviz
- **Paketmanager:** Homebrew
- **Version:** 2.2.2
- **Quellzusammenfassung:** Web-based viewer for Python profiler output
- **Homepage:** <https://jiffyclub.github.io/snakeviz/>
- **Zuletzt aktualisiert:** 2026-06-13T10:09:37Z
- **Generiert:** 2026-08-03T19:37:03+00:00

## Executables

- snakeviz (Alias)

## Installationsverhalten

- Bottle: nicht verfügbar

## Version und Aktualität

- Seite generiert: 2026-08-03
- Manager-Version: 2.2.2
## Projektgeschichte und Nutzung

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

### Projektgeschichte

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.

### Adoptionsgeschichte

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.

### Wie es verwendet wird

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.

### Warum Paket-Nerds sich dafür interessieren

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.

### Zeitleiste

- 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

### Quellen

- <https://api.github.com/repos/jiffyclub/snakeviz>
- <https://github.com/jiffyclub/snakeviz>
- <https://jiffyclub.github.io/snakeviz/>
- input source_facts.package-manager


## Sicherheitshinweise

narrow executable package without higher-risk signals.

- **Geiger-Risiko:** grün / niedrig
- narrow executable package without higher-risk signals


## Combined YAML source

View the package source record on GitHub. [combined/snakeviz.yml](https://github.com/mxcl/pkgdb/blob/main/combined/snakeviz.yml)


## Quellen

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