我可以推荐arcadicharts。一个全新的专业的JavaScript和GWT图表库。在没有插件的所有浏览器中运行。简单和快速使用:创建伟大的外观图表，只需几行代码。 免费用于非商业用途。

不是一个Javascript库，但它可能是一个合适的选择-检查谷歌图表，在那里你可以通过传递查询字符串数据到他们的web服务来生成图表。

我最近正在寻找一个javascript图表库，我评估了一大堆，最后确定了jqplot，它非常符合我的要求。正如Jean Vincent的回答所提到的，你需要在基于canvas和基于svg的解决方案之间做出选择。

To my mind the major pros and cons were as follows. The SVG based solutions like Raphael (and offshoots) are great if you want to construct highly dynamic/interactive charts. Or if you charting requirements are very much outside the norm (e.g. you want to create some sort of hybrid chart or you've come up with a new visualization that no-one else has thought of yet). The downside is the learning curve and the amount of code you will have to write. You won't be banging out charts in a few minutes, be prepared to invest some real learning time and then to write a goodly amount of code to produce a relatively simple chart.

If your charting requirements are reasonably standard, e.g. you want some line or bar graphs or perhaps a pie chart or two, with limited interactivity, then it is worth looking at canvas based solutions. There will be hardly any learning curve, you'll be able to get basic charts going within a few minutes, you won't need to write a lot of code, a few lines of basic javascript/jquery will be all you need. Of course you will only be able to produce the specific types of charts that the library supports, usually limited to various flavors of line, bar, pie. The interactivity choices will be extremely limited, that is to say non-existent for many of the libraries out there, although some limited hover effects are possible with the better ones.

我使用了JQplot，这是一个基于画布的解决方案，因为我只需要一些标准类型的图表。从我的研究和各种选择中，我发现它的功能相当全面(如果你只追求标准图表)，而且非常容易使用，所以如果你的要求相似，我会推荐它。

总而言之，简单且需要图表，然后使用JQplot。复杂/不同，时间不紧迫，那就和拉斐尔和朋友们一起去吧。

看看谷歌可视化API，这是一种更简单的图表API的推广

看看ZingChart HTML5 Canvas, SVG, VML和Flash图表。非常强大和兼容的库。我是Zing团队的一员-在twitter上提到我们@zingchart或发送任何问题到support@zingchart.com。

还有另一个基于SVG的javascript库。它被称为Protovis，来自斯坦福可视化小组

它还允许制作漂亮的交互式图形和可视化。

http://vis.stanford.edu/protovis/ex/

尽管它只适用于现代网络浏览器

更新:protovis团队已经迁移到另一个名为d3.js(数据驱动文档)的库，正如他们所说:

Protovis团队现在正在开发一个新的可视化库D3.js，改进了对动画和交互的支持。D3建立在Protovis的许多概念之上。”

新库现在可以在以下地址找到:

http://mbostock.github.com/d3/

更新2:

“Rickshaw”是一个用于创建交互式时间序列图的JavaScript工具包。基于d3.js，这大大简化了d3.js的工作，尽管功能有点不强大。

http://code.shutterstock.com/rickshaw/