尝试麻省理工学院的明喻时间轴，它可以做成一个图表- http://simile.mit.edu/timeline/

或者最后一个，http://code.google.com/p/gchart/

看看《Bluff》。它是Ruby的Gruff图形库的JavaScript移植。

Sencha收购了Raphael，现在他们的图表是纯javascript版本4。上面提到的Emprise和HighCharts是我最喜欢的两个。

http://www.sencha.com/

如果你正在使用jQuery，我发现flot非常好-尝试一下示例，看看它们是否适合你的需求，但我发现它们可以满足我当前项目的大部分需求。

此外，ExtJS 4.0还引入了一组非常强大的图表，旨在处理实时数据。

尝试麻省理工学院的明喻时间轴，它可以做成一个图表- http://simile.mit.edu/timeline/

或者最后一个，http://code.google.com/p/gchart/

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。