Plotly is a collaborative, web-based graphing and analytics platform.
Plotting Library and Web App
Plotly allows users to import, copy and paste, or stream data to be analyzed and visualized. For analysis and styling graphs, Plotly offers a Python sandbox (NumPy supported), datagrid, and GUI. Python scripts can be saved, shared, and collaboratively edited in Plotly.
The Plotly Python graphing library is a scientific graphing library. Graphs can be styled with Python and a GUI, and shared with a URL for others to view, collaborate, or save a copy.
$ pip install plotly
$ easy_install plotly
Using Plotly and IPython
Plotly also integrates with IPython to create interactive graphs in a Notebook. A few examples are available in the gallery that show how to use LaTeX, GapMinder bubble charts, NumPy, pandas, datetime, and MATLAB in IPython.
You can download the latest version here.
The Python library and IPython examples can be found on GitHub.