数据驱动框架:Web/桌面 Camelot V Django 等

发布于 2024-11-26 12:08:36 字数 651 浏览 1 评论 0 原文

希望获得有关框架的一些反馈。网络/桌面。在大多数方面,似乎没有太大区别,但网络可以无处不在,而桌面则不能。

然而,对于使用数据库驱动的应用程序的小型用户群来说,其中 70% 的输入来自文件,30% 来自用户。我会从 Camelot Camelot 或 Dabo & 等基于桌面的解决方案中获得更多好处吗?睡衣与 Django、Grok、Plone 或 Pyramid 相匹配?

我将主要基于文档 Django Book 来学习 django,并且学习起来很容易。我想我应该在潜入之前先检查一下它是否最合适。

对于需要显示/输入/报告设施(图表/图形)的数据驱动项目,是否有最适合或“更好的适合”。我看不出这些天使用 Web 框架会失去任何东西,但是所需的输出更多的是基于“业务”逻辑而不是网页,我应该选择哪种途径使用 Web 或桌面,以及是否有更好的选择?

编辑:我找到了另一种可能的解决方案/答案 web2py web2py

Wanting to get some feedback on frameworks. Web/Desktop. It doesn't seem to be much difference in most respects expect web can go everywhere and desktop can't.

For a small user base however using database database driven application, where 70% input would come from files, and 30% for the user. Would I get more benefit from a desktop based solution like Camelot Camelot or Dabo & Pyjamas matched against say Django, Grok, Plone or Pyramid?

I was going to learn django based largely on docs Django Book and apparent ease of learning. Thought i should check first before diving in if its the most appropriate.

For data driven project where display/input/reporting facilites(charts/graphs) required is there a best fit or a "better fit". Can't see that I would loose anything by using a web framework for this these days, but where the desired output is more "business" logic based rather than a web page which avenue should i go web v desktop and if either better option?

Edit: I have found another possible solution/answer web2py web2py

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一梦等七年七年为一梦 2024-12-03 12:08:36

我想您会发现 web2py 非常容易学习和使用。请注意,如果需要,您可以轻松地将 web2py 应用程序分发给个人用户,以便像桌面应用程序一样安装在他们自己的计算机上(使用浏览器作为用户界面)——请参阅 此处。用户不需要在计算机上安装任何其他东西(甚至不需要Python),并且web2py本身不需要安装,只需解压即可。

I think you'll find web2py very easy to learn and use. Note, if desired, you can easily distribute your web2py app to individual users for installation on their own computer like a desktop app (using the browser as the user interface) -- see here. The users don't need to have anything else installed on their computer (not even Python), and web2py itself doesn't require installation, just unzipping.

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