Python library for science observations from the James Webb Space Telescope
![](https://www.deeplearningdaily.com/wp-content/uploads/2021/07/python-library-for-science-observations-from-the-james-webb-space-telescope_610327c9dd8b0-375x210.jpeg)
JWST Calibration Pipeline
JWST requires Python 3.7 or above and a C compiler for dependencies.
Linux and MacOS platforms are tested and supported. Windows is not currently supported.
Installation
The easiest way to install the latest jwst
release into a fresh virtualenv or conda environment is
pip install jwst
Detailed Installation
The jwst
package can be installed into a virtualenv or conda environment via pip
.
We recommend that for each installation you start by creating a fresh
environment that only has Python installed and then install the jwst
package and
its dependencies into that bare environment.
If using conda environments, first make sure you have a recent version of Anaconda
or Miniconda installed.
If desired, you can create multiple environments to allow for switching between different
versions of the jwst
package (e.g. a