jdaviz is a suite of interactive astronomical data visualisation and analysis tools developed as part of the Space Telescope Science Institute’s wider data analysis ecosystem.
It combines graphical data exploration with scientific analysis and is built around the Jupyter platform. The same software can operate within a Jupyter notebook, as a standalone application, or embedded within a website, allowing researchers to move between interactive and programmatic workflows without adopting an entirely different interface.
jdaviz provides specialised viewers for several forms of astronomical data. Image viewers handle two-dimensional imagery and support operations such as aperture photometry and catalogue exploration. Spectrum viewers work with one- and two-dimensional spectra and provide extraction, measurement and spectral-line fitting facilities. Cube viewers support spectroscopic data cubes and extraction of one-dimensional spectra.
Table, scatter and histogram viewers provide additional ways to explore catalogue and tabular data. The application is particularly designed around observational modes from the James Webb Space Telescope, although its data handling is intended to support observations from other astronomical facilities as well.
This is free and open source software.
Key Features
- Interactive astronomical data visualisation and analysis.
- Image, spectrum and spectroscopic cube viewers.
- Table, scatter and histogram exploration.
- Aperture photometry and catalogue analysis.
- Spectral extraction, measurements and line fitting.
- Designed with JWST observing modes in mind.
- Runs within Jupyter or as a standalone application.
Website: github.com/spacetelescope/jdaviz
Support:
Developer: JDADF Developers
License: BSD 3-Clause “New” or “Revised” License
jdaviz is written in Python. Learn Python with our recommended free books and free tutorials.
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