In discussions with Perry Greenfield at STScI, it seems we are in the position of being able to get some financial support to pay for a continuous integration system.
Travis has shown itself to be rather glitchy for matplotlib. The tight integration with Github PRs is really convenient. However, matplotlib has longer test runs and more dependencies than many projects. The frequent false positives start to wear down at a certain point. And we still aren't testing everything because we can't aren't installing Inkscape and other things in the Travis VM. So we're looking to add another paid, hosted continuous integration service that will better meet our needs. A hosted service is nice because it's easy to give multiple developers access to the system so anyone can tweak it and keep it going -- the bottleneck of a single developer responsible for maintenance of the build machine was a problem years ago when we were using buildbot. This may remain "in addition to" rather than "instead of" Travis for some time. An obvious first choice to me is ShiningPanda, as I have experience using it for astropy. Jenkins (the software Shining Panda is based on), is a really easy-to-use system, for those not familiar with it. And we can store the output of the tests (i.e. the result_images) for later inspection. I think this feature alone is huge for matplotlib. They also offer Windows build slaves. There is no OS-X (probably because Apple licensing doesn't really allow for use in a VM), but results can be "published" to their Jenkins instance. Are there any other similar alternatives we should consider before we move forward? Mike ------------------------------------------------------------------------------ Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_jan _______________________________________________ Matplotlib-devel mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
