jparmer

Open-source test automation drivers for Keysight, NI, and Rohde & Schwarz hardware also available. Easily extensible through Python API.

Python is coming for Scientific Instruments.

Here's a Dash app that use Dask & Datashader for fast aggregations on +40M rows: https://dash-gallery.plotly.host/dash-world-cell-towers

The source code, which can be used as a Dash + Dask boilerplate, is here: https://github.com/plotly/dash-world-cell-towers

Feel free to ask questions at community.plot.ly

You guys should consider nteract's commutable as a frontend: https://github.com/nteract/commutable

You can also toggle code cells of Jupyter notebooks in Plotly: https://plot.ly/~empet/14371

Plotly | React.js engineers. plot.ly/jobs

What else are you looking for in Bokeh and Plotly?

The solution to the double pendulum system is streaming, not animated - Everyone sees the same pendulum position at the same time. Try opening 2 browser tabs to see this.

If you're looking to make scientific D3 graphs with Python, never touching anything close to javascript, you can also check out the Plotly Python API:

https://plot.ly/api/python

It was designed foremost to make graphs pertinent for scientific and engineering applications: https://plot.ly/~alex/76/

(Disclosure: I'm a dev @Plotly)

Check out the Plotly APIs for hover - Here's an example: https://plot.ly/~alex/75/ https://plot.ly/api/python (Disclosure: I'm a dev at @Plotly)

The Plotly MATLAB API does exactly that: https://plot.ly/api/matlab

Lots! We long since incorporated all of the suggestions from that post, including building a cross-language graphing API for Python, Julia, MATLAB, R, et al. We've also had time since then to raise a seed round, smooth out the UX and aesthetic, build more features like ability to comment on graphs, and build the team past the original 2.5 engineers from the time of that post (https://plot.ly/about). There are also many, many more graph types: box plots, histograms, error bars, area plots, and multiple axes and subplots coming very soon. Thanks for following and asking! Most of the HN readership likely graphs data regularly, so its been especially rewarding and fascinating to solicit feedback from y'all.

Thanks! We are indeed huge fans of @worrydream

Any scientists or engineers out there have any thoughts or suggestions? Would you use this at your job or in your lab?

Here's the most recent embedded Plotly graph in the Washington Post: http://wapo.st/19zFL1B

Here's one of the recent Washington Post articles with an embedded Plotly graph: http://wapo.st/13osx4W

Thoughts? NYT-quality graph made in Plotly: https://plot.ly/~bchartoff/344/

We're thinking about adding a Julia API: https://plot.ly/api

Hit us up if you'd like to be a part of this or have input. And hey, we're also hiring: https://plot.ly/jobs

Awesome. All super helpful stuff. Thanks so much for taking the time!

We're slowly churning out 3d. Here's a preview: pic.twitter.com/jVaZsDOv7x

Awesome, Thanks for the feedback. Seems HN has consensus on this one.

Only google drive and dropbox so far. Just curious, why not dropbox?

Check out Share/Tweet options under "Share" on the graphing toolbar. Here's a log-log graph my colleague shared, for example: https://plot.ly/~alex/13/

No mouseover yet - Thanks for the feedback!

Cool, thanks. We could probably tone down the size of our demos.

Cool. Really helpful stuff.

Thanks for the feedback! We're most excited about collaborative data analysis. Imagine being able to simultaneously view/edit a graph and script for a computational problem being solved in a team... Programmers can do this in git, but a data scientist might want a tool that is more visual and focused around graphs. I worked at a semiconductor R&D company for a while and we often shared scripts and graphs by email... it felt like the 90s (:

Lots of private companies with R&D don't like their data leaving the building, but want a collaborative tool that's more technical than G docs. We're exploring this space, hopefully while providing a kick-ass, free or very cheap graphing tool for the public at large.

It took two of us about 6 months, with one of us part-time and a few friends helping after their day jobs.

Hey jferge, Thanks for the feedback. You can already do linear (and polynomial) regression through the plotly spreadsheet GUI. Way easier than Excel, imo:

Linear fit with dates: https://plot.ly/~jackp/487 Partial linear fit): https://plot.ly/~jackp/489 5th order polynomial fit: https://plot.ly/~jackp/490