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我推荐的 Python 中高度灵活的问题跟踪器是“Roundup”:
http://roundup.sourceforge.net/。
其使用示例可以在线查看 http://bugs.python.org/。
A highly flexible issue tracker in Python I would recommend is "Roundup":
http://roundup.sourceforge.net/.
An example of its use can be seen online at http://bugs.python.org/.
尝试 Trac
Try Trac
我确实有使用大约 20-30 个不同的错误跟踪器(安装或托管)的经验,到目前为止,如果您准备好处理大量错误并且希望花更少的时间编码问题跟踪器来获取 Atlassian Jira ,对于开源项目是免费的。
是的,它不是Python,它是Java,启动缓慢并且需要大量资源。 同时,RAM 比您自己的时间便宜得多,如果您想扩展系统,您可以使用 https://pypi.python.org/pypi/jira-python/
您是否认为 Jira 毫无理由地成为最常用的错误跟踪器? 它不是市场上的第一个,事实上与其他产品相比相当新。
部署后,您可以专注于改进工作流程,而不是修补错误跟踪器。
它拥有的最佳功能之一是能够链接到外部问题并能够查看其状态,而无需单击它们。 作为警告,对于来自另一个跟踪器的人,您可能会发现存在一些设计限制,例如错误可以有一个受让人。 不要害怕,如果你进一步观察,你会发现有办法将门票分配给不同的人群。
I do have experience using probably 20-30 different bug trackers, installed or hosted and so far if you are up to deal with a big number of bugs and you want to spend less time coding-the-issues-tracker, to get Atlassian Jira, which is free for open-source projects.
Yes, it's not Python, it is Java, starts slowly and requires lots of resources. At the same time, RAM is far less expensive than your own time and if you want to extend the system you can do it in Python by using https://pypi.python.org/pypi/jira-python/
Do you think that Jira is the most used bug tracker for no reason? It wasn't the first on the market, in fact is quite new compared with others.
Once deployed you can focus on improving the workflows instead of patching the bug tracker.
One of the best features that it has is the ability to link to external issues and be able to see their status, without having to click on them. As an warning, for someone coming from another tracekr you may discover that there are some design limitations, like the fact that a bug can have a single assignee. Don't be scared about it, if you look further you will find that there are way to assign tickets to groups of peoples.