Wednesday, February 1, 2017

SABA  Sherpa Bridge to Astropy

Sherpa can be used as part of astropy.modeling thanks to SABA - Sherpa Bridge to Astropy

The development of this package was made possible by the generous support of the Google Summer of Code program in 2016 under the OpenAstronomy by Michele Costa with the support and advice of mentors Tom AldcroftOmar LaurinoMoritz Guenther, and Doug Burke.

Sherpa 4.9 Release 

Sherpa 4.9 was just released this week. It now runs in Python 2.7 and Python 3.5. There has been minimal testing with Python 3.6. Support for versions 3.3 and 3.4 would require community support.

Check our GitHub page:

Jupyter Notebooks are available on the wiki:

Sunday, September 25, 2016

Sherpa 4.8.2 Release with Python 3.5 Beta

Sherpa 4.8.2 was released on September 22, 2016. This is the first release for both Python 2.7 and Python 3.5 (Beta release). The 4.8.2 release is available for Python 2.7 and for the first time (as a beta release) for Python 3.5 The Python 3.5 release is considered a Beta designed to maintain backwards compatibility with Python 2.7.

Check our GitHub page:

Friday, June 5, 2015

A few IPython notebooks

I have started to collect together a few IPython notebooks highlighting a few features of Sherpa - in particular the standalone version. They can be found on GitHub at and the current collection contains:

The first one is the same as referenced in my
How do I use the standalone build of Sherpa to fit my data?
post from last year, but the last three are *new*.

We will soon have a better location for this style of information, as we continue work on our "Open Sherpa" project. Please come along and help out!

Tuesday, May 5, 2015

Ivan Zolotukhin posted on Facebook the link to his web application that wraps Sherpa to fit the spectra in the new XMM catalog 3XMM-DR5:

Tuesday, April 28, 2015

Installing Sherpa

My new iMac with Yosemite arrived this week and I have to install all the software packages I  use including Sherpa.  I had to install Python Anaconda then setup my local git directory
and clone sherpa:

$ git clone

Next go and install sherpa:

$ cd sherpa
$ sherpa install

The build failed as I did not have gfortran. 
Installing gfortran was easy - just got the package from
and follow the instructions.

With this update the basic Sherpa installation completed. I run the sherpa_test which failed as I did not have pyfits.


$ pip install pyfits

Then I run sherpa_test  and this time the tests passed. I still need to install ds9, but now I have Sherpa and can run some of the analysis that I have to do today.

Tuesday, April 21, 2015

Sherpa Becomes an Open Project!

On April 20, 2015 Sherpa became an Open Source project!  The source code repository is now on GitHub.   The project repository can be 'cloned'  allowing for development of  the new code, new extensions  or bug fixes.  The Sherpa Project welcomes contributions via GitHub.  

Now, you can build Sherpa from source on your own platform within your Python environment with additional customization. See more details on Sherpa documentation page.