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aurora is a web-based Beanstalkd queue server console written in Go and works on macOS, Linux, and Windows machines. The main idea behind using Go for backend development is to utilize the ability of the compiler to produce zero-dependency binaries for multiple platforms. aurora was created as an attempt to build a very simple and portable application to work with a local or remote Beanstalkd server.

See application screenshots


  • Cross-platform support macOS/Linux/Windows 32/64-bit
  • Simple installation (distributed as a single binary)
  • Zero dependencies
  • Common list of servers in the config for all users + optional Basic Auth
  • The full list of available tubes
  • Complete statistics about jobs in tubes
  • Real-time auto-update with highlighting of changed values
  • You can view jobs in ready/delayed/buried states in every tube
  • You can add/kick/delete jobs in every tube
  • You can select multiple tubes by regExp and clear them
  • You can set the statistics overview graph for every tube
  • You can move jobs between tubes
  • Ability to Pause tubes
  • Search jobs data field
  • Customizable UI (code highlighter, choose columns, edit auto refresh seconds, pause tube seconds)


Installing aurora using Homebrew on macOS:

brew install aurora

Building aurora using Docker:

docker build -t aurora:latest .
docker run --rm --detach -p 3000:3000 aurora:latest

Precompiled binaries for supported operating systems are available.


Contributions are welcome! Open a pull request to fix a bug, or open an issue to discuss a new feature or change.


  • Handle 404 error page
  • Filter the tubes by name in the overview
  • Logout support when Basic Auth has been enabled
  • Custom job content hightlight display theme support
  • Cookies control, each user can add its own personal Beanstalkd server



This project exists thanks to all the people who contribute.



Thank you to all our backers! 🙏 Become a backer


Support this project by becoming a sponsor. Your logo will show up here with a link to your website.


This program is under the terms of the MIT License. See LICENSE for the full license text.