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.


Users can install and sign up for Plotly from the terminal. See documentation for walk-through and sign-up steps: https://plot.ly/api/python.

  $ 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.


Plotly (last edited 2014-02-12 11:16:20 by Matt Sundquist)

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