Hi Folks, I'm happy to announce the release of Larch 0.9.37. It's been a while since I announced updates to Larch, and there has been steady progress on a number of areas over the past year. While much of the effort has been centered on X-ray fluorescence imaging and diffraction mapping work done at X-ray microprobes especially at GSECARS, there has also been been some work on XAFS and XANES. Larch now includes both Feff6l and Feff8l (that is, Feff85 for EXAFS-only calculations), with routines for running these from within Larch scripts or from Python. I want to draw your attention in particular to the program with the rather boring name "XAS Viewer" (formerly XYFit) that is included with Larch and may be of interest to several Ifeffit users. XAS Viewer is currently focussed on doing pre-edge peak fitting, but we do intend to add more XANES and EXAFS visualization and analysis tools. Feedback and suggestions of any kind would be helpful and greatly appreciated. Currently, XAS Viewer can read data from plain ASCII files or from recent "new-style" Athena Project files. Like Athena, it can merge groups and plot one or more XAFS spectra in various stages of the XAFS normalization process. XAS Viewer can also save data to Athena Project file, or save multiple data sets to CSV files. While XAS Viewer does basic XANES processing (normalization, etc) and visualization similar to Athena, its main emphasis is on fitting of pre-edge peaks. A dedicated panel helps the user first fit a baseline curve, then adds peaks (Gaussian, Lorentzian, Voigts, etc) and fits the entire model to the pre-edge region. Bounds and constraints can be placed on any of the parameters for the peaks, and full fit reports including uncertainties are generated. Fit models can be saved to a file and re-loaded. These saved models can be used from Python code. We will soon be generating fitting scripts for batch processing, but this is still work in progress. Some screenshots, and a bit more information are at https://xraypy.github.io/xraylarch/guis/xas_viewer.html Again, feedback or suggestions on this or any other aspects of Larch are most welcome. Larch can be installed with installers for Windows, Mac OSX, Linux. At the moment, these installers all assume 64-bit operating systems. If anyone needs to use Larch with 32-bit Windows please let me know, and I will try to build an installer for that platform. Larch can also be installed as a "conda package" for Anaconda Python, as with conda install -c GSECARS xraylarch Currently both Python 2.7 or 3.6 are supported. Finally, Larch can also be used as the "backend" for Athena/Artemis, and I strongly encourage all Athena/Artemis users to install Larch so that it can be used in place of the old and unsupported ifeffit library. --Matt Newville