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使用 Homebrew 安装 torrra

查看 torrra 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

安装

其他安装命令

macOS

Homebrew已验证 · 100%
brew install torrra

local Homebrew formula metadata

概览

软件包摘要

Find and download torrents without leaving your CLI

命令和别名

  • torrra

历史

项目历史与用法

Torrra is a Python CLI/TUI for searching and downloading torrents from the terminal. Its README describes it as powered by Jackett or Prowlarr for search and libtorrent for downloads, with a Textual-based interface.

项目历史

The project is a recent terminal-first BitTorrent client wrapper rather than an old ecosystem package. Its README identifies it as MIT licensed with 2025 copyright, and the official documentation title shows a 2.0.7 documentation build.

Torrra's project direction is to combine several pieces that package nerds often run separately: Jackett or Prowlarr indexers, libtorrent downloading, a persistent TOML config, caching, themes, and a Textual TUI with pause/resume controls.

采用历史

Official installation notes in the README lead with pipx and uv tool install, then list AUR, standalone binaries, Homebrew, and Docker as additional options. The input package facts confirm Homebrew packaging, placing Torrra in the cross-platform Python CLI packaging pattern rather than a single-distribution tool.

使用方式

The README shows three main workflows: interactive search by running torrra with a configured indexer, direct search with torrra search, and direct download from magnet URIs or .torrent files with torrra download. Configuration commands set Jackett URL, Jackett API key, default indexer, download paths, and themes in config.toml.

For package nerds, Torrra is mainly interesting because it brings the torrent search/download loop into the terminal while still integrating with self-hosted indexer tools. The credentials file doubles as configuration because API keys for Jackett or Prowlarr are stored in the same TOML config.

为什么软件包爱好者会关心

Torrra is significant as a modern Python/Textual example in the torrent CLI space: it packages search, indexer credentials, libtorrent downloads, and a TUI into one command while supporting pipx, uv, AUR, Homebrew, binaries, and Docker.

时间线

  • 2025: README license line identifies MIT copyright for the project.
  • 2.0.7 docs: Read the Docs publishes Torrra documentation with usage, configuration, indexer, roadmap, and contributing sections.
  • Current packaging: README lists pipx, uv tool install, AUR, standalone binaries, Homebrew, and Docker options.

Related projects

  • The README names Jackett, Prowlarr, libtorrent, and Textual as the main surrounding ecosystem. It also mentions pipx, uv, AUR, Homebrew, and Docker as packaging/install surfaces.

安全态势

风险级别:blue

broad file, network, media, or database tool signal.

风险分类器

blue 风险 · 中 置信度 · tool

原因

  • broad file, network, media, or database tool signal

信号

  • text:download

安装行为

  • 未记录 Homebrew bottle 元数据。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

local files

Configuration and credential file locations

These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.

Configuration files

Config paths the tool may read or write during local use.

Unix
~/.config/torrra/config.toml
Windows
%APPDATA%\torrra\config.toml

Credential files

Credential-bearing paths to review before unattended agent runs.

Unix
~/.config/torrra/config.toml
Windows
%APPDATA%\torrra\config.toml

可执行文件

已安装的可执行文件

命令类型暴露范围备注
torrra可执行文件已索引可执行文件从本地可执行文件索引发现。

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-08-03
管理器版本2.0.7
管理器更新时间
本地数据未知
上游不可用
检测到的最新版本未检测到
  • OK没有生成新鲜度警告。

安装元数据

软件包元数据

软件包键brew:torrra
版本2.0.7
软件包管理器Homebrew
主页https://torrra.readthedocs.io/en/latest/
仓库https://github.com/stabldev/torrra
Bottle未记录
服务未声明

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

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