JWST Data Analysis Software Packages
Content Migration
WARNING: This page has been deprecated and the content migrated to JWST Post-Pipeline Data Analysis. Please update your links accordingly.
JWST post-pipeline data analysis tools are individual packages that will assist observers in viewing and analyzing their JWST data. The tools are generally written in Python and work with Astropy.
See also: JWST Post-Pipeline Data Analysis
Words in bold are GUI menus/
panels or data software packages;
bold italics are buttons in GUI
tools or package parameters.
These packages have their own installation instructions, but most can be installed with standard pip commands. Table 1 provides links to further information about the tools.
Table 1. Software tools information
Package | Purpose | GitHub Repository | Documentation |
|---|---|---|---|
Astropy | A community python library for astronomy | GitHub | |
glue | A Python library to explore relationships within and among related datasets | GitHub | |
ginga | A toolkit designed for building viewers for scientific image data in Python | GitHub | |
photutils | Tools for detecting and performing photometry of astronomical sources | GitHub | |
| specutils | Tools for performing spectroscopic analysis of astronomical sources | GitHub | ReadTheDocs |
| specreduce | A toolkit designed to reduce and calibrate spectroscopic data. | GitHub | ReadTheDocs |
astroimtools | Convenience tools for working with astronomical images | GitHub | |
imexam | Tool for simple image examination, and plotting, with similar functionality to IRAF's imexamine | GitHub | |
jdaviz | An interactive analysis tool designed to be integrated into a Jupyter notebook science workflow. Included Imviz, Specviz, Cubeviz, and Mosviz:
| GitHub | ReadTheDocs |
asdf | Advanced Scientific Data Format is a next generation interchange format for scientific data | GitHub | |
gwcs | Generalized World Coordinate System tools for dealing with image and spectral geometries | GitHub | |
synphot | Synthetic photometry toolkit for building model spectra and estimating count-rates | GitHub |