Some time ago, we moved Pylint from this forge to Bitbucket (more on this here).
Since then, I somewhat continued to use the continuous integration (CI) service we provide on logilab.org to run tests on new commits, and to do the release job (publish a tarball on pypi, on our web site, build Debian and Ubuntu packages, etc.). This is fine, but not really handy since the logilab.org's CI service is not designed to be used for projects hosted elsewhere. Also I wanted to see what others have to offer, so I decided to find a public CI service to host Pylint and Astroid automatic tests at least.
Here are the results of my first swing at it. If you have others suggestions, some configuration proposal or whatever, please comment.
First, here are the ones I didn't test along with why:
The first one I actually tested, also the first one to show up when looking for "bitbucket continuous integration" on Google is https://drone.io. The UI is really simple, I was able to set up tests for Pylint in a matter of minutes: https://drone.io/bitbucket.org/logilab/pylint. Tests are automatically launched when a new commit is pushed to Pylint's Bitbucket repository and that setup was done automatically.
Trying to push Drone.io further, one missing feature is the ability to have different settings for my project, e.g. to launch tests on all the python flavor officially supported by Pylint (2.5, 2.6, 2.7, 3.2, 3.3, pypy, jython, etc.). Last but not least, the missing killer feature I want is the ability to launch tests on top of Pull Requests, which travis-ci supports.
Then I gave http://wercker.com a shot, but got stuck at the Bitbucket repository selection screen: none were displayed. Maybe because I don't own Pylint's repository, I'm only part of the admin/dev team? Anyway, wercker seems appealing too, though the configuration using yaml looks a bit more complicated than drone.io's, but as I was not able to test it further, there's not much else to say.
So for now the winner is https://drone.io, but the first one allowing me to test on several Python versions and to launch tests on pull requests will be the definitive winner! Bonus points for automating the release process and checking test coverage on pull requests as well.