A fast launcher for keyboard ninjas on Windows.

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What is Keypirinha

Keypirinha is a fast launcher for keyboard ninjas on Windows.


  • Quickly find and launch plethora of items like applications, files, bookmarks, URLs, sessions (PuTTY, WinSCP, FileZilla), registry keys, ...
  • Launch a search on any configured website or online dictionary
  • Evaluate a mathematical expression
  • Convert numbers
  • Launch a pasted URL directly (http, mailto, skype, ...)
  • Switch to a running application searched by name
  • Associate a keyword to a specific item
  • An embedded Python3 API to extend Keypirinha‘s features


  • Lightning fast
  • Fairly small memory footprint
  • Battery friendly
  • Extensible by writing plugin scripts in Python3.
  • A community full of enthusiasts
  • Freeware, no nag screen, no time limit, no ads

You can think of Keypirinha as an alternative to Launchy and a cousin of Alfred.

See the First steps chapter for more information.

Current Developments

Here are the headlines of Keypirinha‘s current developments.

Open Packages Platform: Keypirinha is glad to welcome @psistorm as a project member! He is currently working on developing the online side of the project in order to make it more community-oriented. That includes Keypirinha‘s website and more importantly a packages management platform to allow users to easily search, list, install, update and uninstall official and third-party packages. Third-party developers will be able to share their package with the community by registering their GitHub or Bitbucket repository.

Catalog sub-system: Several features regarding the Catalog sub-system have been requested by users and have been hanging in the issue tracker for quite a while now (issues #22, #52 and #60). Altogether, they imply deep changes under the hood and require some time to be implemented. It is slowly making its way.

About this Documentation

This documentation is a work in progress and the effort of a non-native english speaker. Comments and contributions are appreciated. It is written in reST and generated using the Sphinx tools suite.


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