[Gnuplot-py-users] Plotly: Python graphing library for Interactive, publication-quality graphs

[Matt S. <ma...@pl...>]

Hey Gnuplot-Py friends,

Happy Monday!

We just launched the Plotly <https://plot.ly/> beta, a project for
analyzing data and making and sharing beautiful graphs and analytics, and
we wanted to let this group know. We have APIs in Python, MATLAB, R, Julia,
Perl, Arduion, and REST for logging, streaming, and importing data to make
your graphs. You can style your graphs with our GUI, analyze data with our
Python Shell, and easily share and collaborate on your projects.

Plotly also lets you make interactive graphs with IPython (see
Notebook<http://nbviewer.ipython.org/7576511>
).

You can access our APIs here: https://plot.ly/api/Python.

The graphs in the gallery below are available on our site, along with the
code to make these graphs.

As we're quite new, your expert thoughts, feedback, and suggestions are
much appreciated!

Thanks so much,
Matt

[image: Inline image 1]