Using WWT for Research

The pywwt package exploits the power of AAS WorldWide Telescope’s rendering engine to interactively visualize astronomical images and data tables inside your Jupyter notebooks. You can try it out right now with our cloud-based notebooks:

Get started with pywwt

Here’s a video of pywwt in action:

There’s a lot more where that came from in the pywwt playlist on the WWT YouTube channel.

Get Your Data into WWT🔗

For basic image and tabular visualization, pywwt is all you need. But WWT can visualize many kinds of data sets, ranging from 3D models to terabyte-scale all-sky surveys.

The WWT Data Guide is your one-stop-shop to understand the details of the different data formats used in AAS WorldWide Telescope and the software tools that create and manipulate them.

Use the toasty Python package to “tile” large images for efficient web-based visualization.

The wwt_data_formats Python package documents the details of WWT’s low-level data formats, and provides tools for reading and writing them.

Share Your Science on the Web🔗

One of WWT’s unique strengths is that it’s built for the web, so that you can share WWT visualizations with just about anyone anywhere. You can use it to build interactives ranging from simple embeds in your personal webpage up to full-blown custom web applications.

Tours are scripted, multimedia experiences that guide the viewer through WWT’s simulated universe. Not only does WWT make it easy to create tours that explain your research, it makes it easy to share them as well!

The WWT web client and pywwt are powered by the WWT WebGL Engine, a reusable JavaScript library. With a little web development elbow grease you can build your own custom web interactives.

We are currently beta-testing support for easily creating WWT interactive figures in publications. If that sounds interesting to you, get in touch to learn more!