npm:pywwt 1.4.0

npm:pywwt 1.4.0 (2022-12-01)

• Require version 0.12 of the research app, to get the latest improvements
  including the Vue 3 update (#342, @pkgw).

pypa:pywwt 0.16.2

pypa:pywwt 0.16.2 (2022-10-26)

• Update a construct in setupbase.py to fix installation with Python 3.11
  (#340, @dhomeier).
• Update the export of interactive figure data to work with named
  colormaps (#339, @Carifio24).

The DOI of this release is 10.5281/zenodo.7255701.

pypa:pywwt 0.16.1

pypa:pywwt 0.16.1 (2022-10-12)

• Fix loading of HDULists as image layers (#337, @pkgw)

The DOI of this release is 10.5281/zenodo.7187355.

pypa:pywwt 0.16.0

pypa:pywwt 0.16.0 (2022-10-08)

This release improves the support for viewing arbitrarily-sized FITS files in
pywwt, taking advantage of the new support in the Toasty library for all-sky
datasets! Version 0.18 of Toasty, or newer, is now required.

Another cool new change is that pywwt releases are now automatically deposited
with Zenodo and assigned DOIs in the process. This makes it possible to cite
the pywwt software, indicating exactly which version you were using, in
scholarly contexts!

• Handle all-sky FITS files with TOAST rather than hipsgen, using the
  newest Toasty features (#335, @imbasimba).
• Allow toggling whether or not a table layer is selectable (#334, @Carifio24).
• Allow the time_decay attribute of layers to be serialized (#332, @Carifio24).
• Make it possible to customize the app URL used by the Jupter widget (#331,
  @pkgw).
• Implement automated Zenodo deposit with DOI registration (@pkgw)

The DOI of this release is 10.5281/zenodo.7164148.

pypa:pywwt 0.15.2

pypa:pywwt 0.15.2 (2022-01-19)

• Update the bundled version of the research app to 0.9.2, to ensure we have
  support for naming imageset layers (#326, @pkgw)

npm:pywwt 1.3.3

npm:pywwt 1.3.3 (2022-01-19)

• Require version 0.9.2 of the research app, to ensure we have support for
  naming imageset layers (#326, @pkgw)

pypa:pywwt 0.15.1

pypa:pywwt 0.15.1 (2022-01-17)

• Fix installation on Python 3.10 (#325, @pkgw)
• Fix a small logic error with imageset naming that prevented some imagesets
  from loading in the app (#325, @pkgw)

pypa:pywwt 0.15.0

pypa:pywwt 0.15.0 (2022-01-14)

This release adds support for viewing arbitrarily-sized FITS files in pywwt,
with automatic tiling provided by the Toasty library!

• Extend the existing FITS viewing support to automatically tile FITS images if
  needed, using either Toasty or CDS' hipsgen depending on the angular size of
  the image (#316, @imbasimba). While the Python interfaces don't look any
  different, there is now a lot more machinery under the hood so that pywwt can
  perform well whether your FITS file is a megabyte or a gigabyte in size.
• Use the new WWT Kernel Data Relay (KDR) for serving up kernel-side data
  in Jupyter (#316, @pkgw, @imbasimba). You will now need to install the Python
  package wwt_kernel_data_relay as a Jupyter Server extension for FITS viewing
  to work in pywwt. This extension is necessary for pywwt to be able to send
  FITS data to the WWT web app on-demand, as you navigate an image. The KDR
  extension should be useful for other similar visualization tools as well.
• Lots of other under-the-hood work to get asynchronous tiling and data service
  working smoothly.
• Automatically use better default names and data cuts when viewing FITS files
  (#323, @imbasimba).
• Substantially clean up and (hopefully) improve the documentation (#318, #324,
  @pkgw). This includes a new documentation theme based on the Astropy docs.

npm:pywwt 1.3.2

npm:pywwt 1.3.2 (2022-01-14)

• Fix up license annotations
• Require the latest research-app, version 0.9

pypa:pywwt 0.14.0

pypa:pywwt 0.14.0 (2021-11-01)

• When pywwt is installed as a Jupyter server extension, have it provide its
  static resource files, most notably the bundled copy of the research app, from
  the additional URL path $jupyterBaseUrl/wwtstatic/.... Coupled with the
  recent releases of the WWT JupyterLab extension to make the app URL
  configurable, this should give us a future-proof way to make the WWT
  JupyterLab experience fully functional even in Jupyter(Lab) installations that
  reject all cross-origin data requests (#315, @pkgw).