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Roman Attribute Dictionary

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Roman Attribute Dictionary

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This is a repository for the Roman Attribute Dictionary


The easiest way to install the latest rad release into a fresh virtualenv or conda environment is

pip install rad

Detailed Installation

The rad 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 rad 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 rad package (e.g. a released version versus the current development version).

In all cases, the installation is generally a 3-step process:

  • Create a conda environment
  • Activate that environment
  • Install the desired version of the rad package into that environment

Details are given below on how to do this for different types of installations, including tagged releases, DMS builds used in operations, and development versions. Remember that all conda operations must be done from within a bash shell.

Installing latest releases

You can install the latest released version via pip. From a bash shell:

conda create -n <env_name> python
conda activate <env_name>
pip install rad

Alternatively, you can also use virtualenv to create an environment; however, this installation method is not supported by STScI if you encounter issues.

You can also install a specific version (from rad 0.1.0 onward):

conda create -n <env_name> python
conda activate <env_name>
pip install rad==0.5.0

Installing the development version from Github

You can install the latest development version (not as well tested) from the Github main branch:

conda create -n <env_name> python
conda activate <env_name>
pip install git+

Installing for Developers

If you want to be able to work on and test the source code with the rad package, the high-level procedure to do this is to first create a conda environment using the same procedures outlined above, but then install your personal copy of the code overtop of the original code in that environment. Again, this should be done in a separate conda environment from any existing environments that you may have already installed with released versions of the rad package.

As usual, the first two steps are to create and activate an environment:

conda create -n <env_name> python
conda activate <env_name>

To install your own copy of the code into that environment, you first need to fork and clone the rad repo:

cd <where you want to put the repo>
git clone
cd rad

Installing via (python install, python develop, etc.) is deprecated and does not work.

Install from your local checked-out copy as an "editable" install:

pip install -e .

If you want to run the unit or regression tests and/or build the docs, you can make sure those dependencies are installed too:

pip install -e ".[test]"
pip install -e ".[docs]"
pip install -e ".[test,docs]"

Need other useful packages in your development environment?

pip install ipython pytest-xdist

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