drizzlepac 3.7.1.1

HST image combination using the drizzle algorithm to combine astronomical images, to model image distortion, to remove cosmic rays, and generally to improve the fidelity of data in the final image.

# Drizzlepac

[](https://github.com/spacetelescope/drizzlepac/actions/workflows/ci.yml) [](http://drizzlepac.readthedocs.io/en/latest/?badge=latest) [](https://codecov.io/gh/spacetelescope/drizzlepac) [](https://doi.org/10.5281/zenodo.3743274)

Nightly regression test results are available only from within the STScI network at this time. https://plwishmaster.stsci.edu:8081/job/RT/job/drizzlepac/

The use of this software on HST data is described at:

http://drizzlepac.stsci.edu/

A complete description of the documented interfaces in the code itself can be found at:

http://drizzlepac.readthedocs.io

# Installation

## Conda (Recommended)

Drizzlepac is installed when you install the stenv conda environment (a replacement for astroconda). Select your desired release and follow the instructions on the [stenv installation page](https://stenv.readthedocs.io/en/latest/getting_started.html).

## Install with pip

`bash $ pip install git+https://github.com/spacetelescope/drizzlepac.git ` The option –no-use-pep517 MAY be required in order to correctly build the C extensions with pip versions up to 22.2, after commenting out the build-backend from the pyproject.toml config file.

Support for installing using pip is still evolving, so use of this command is provided on an experimental basis for now.

## From Source

### Clone this repository `bash $ git clone https://github.com/spacetelescope/drizzlepac $ cd drizzlepac `

### Build the documentation

Note: If you intend to use drizzlepac’s embedded help feature from within an interactive python or ipython session, we recommend you do not skip this step.

`bash $ cd doc/ $ make html `

### Install DrizzlePac

`bash $ python setup.py install `