> > On Mon, Feb 13, 2012 at 12:12 AM, Travis Oliphant <tra...@continuum.io> wrote: > I'm wondering about using one of these commercial issue tracking plans for > NumPy and would like thoughts and comments. Both of these plans allow Open > Source projects to have unlimited plans for free. > > Free usage of a tool that's itself not open source is not all that different > from using Github, so no objections from me. > > YouTrack from JetBrains: > > http://www.jetbrains.com/youtrack/features/issue_tracking.html > > This looks promising. It seems to have good Github integration, and I checked > that you can easily export all your issues (so no lock-in). It's a company > that isn't going anywhere (I hope), and they do a very nice job with PyCharm.
I do like the team behind JetBrains. And I've seen and heard good things about TeamCity. Thanks for reminding me about the build-bot situation. That is one thing I would like to address sooner rather than later as well. Thanks, -Travis > > JIRA: > > http://www.atlassian.com/software/jira/overview/tour/code-integration > > Haven't looked into this one in much detail. I happen to have a dislike for > Confluence (their wiki system), so someone else can say some nice things > about JIRA. > > Haven't tried either tracker though. Anyone with actual experience? > > What Mark Wiebe said about making it easy to "manage the issues" quickly and > what Eric said about making sure there are interfaces with dense information > content really struck chords with me. I have seen a lot of time wasted on > issue management with Trac --- time that could be better spent on NumPy. > I'd like to make issue management efficient --- even if it means a system > separate from GitHub. > > Issue management is a very important part of the open-source process. > > While we're at it, our buildbot situation is much worse than our issue > tracker situation. This also looks good (and free): > http://www.jetbrains.com/teamcity/ > > Ralf > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion
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