torrra 1.3.0

A Python tool that lets you find and download torrents without leaving your CLI.

Torrra - “rrr”

A Python tool that lets you find and download torrents without leaving your CLI.

Torrra provides a streamlined command-line interface for torrent search and downloads, powered by Jackett/Prowlarr and Libtorrent. Built with Textual, it offers a beautiful TUI with pause/resume support - all without leaving your terminal.

Full documentation: https://torrra.readthedocs.io/en/latest/

Installation

pipx install torrra

Other options: AUR, standalone binaries, Homebrew or Docker.

See full install options →

Quick Usage

torrra jackett --url http://localhost:9117 --api-key <your_api_key>

Then use the arrow keys to navigate, Enter to download, p to pause, r to resume, q to quit.

See full CLI & TUI guide →

Configuration

For persistent settings, torrra uses a config.toml file where you can configure your indexers, download paths, and themes. This avoids the need to pass arguments on every run.

For example, to set up Jackett as your default indexer:

# Set your Jackett URL and API key
torrra config set indexers.jackett.url http://localhost:9117
torrra config set indexers.jackett.api_key <your_api_key>

# Set Jackett as the default indexer
torrra config set indexers.default jackett

Now you can simply run torrra to start searching:

torrra

Learn more about configuration →

Features

• Search with Jackett or Prowlarr
• Download torrents directly with pause/resume support
• Beautiful and responsive TUI built with Textual
• Customizable themes (dark, light, and more)
• Smart config + opt-in caching for fast searches
• Native support for Linux, macOS, and Windows

Full feature list →

Contributing

Contributions are welcome and greatly appreciated!
Whether it's reporting a bug, submitting a feature request, or writing code, we value your help.

• Found a bug or have an idea? Open an issue to let us know.
• Want to contribute code? Check out the Contributing Guide,
  to learn how to set up your development environment and submit a pull request.

License

MIT © 2025 ^_^ @stabldev