drizzlepac 3.5.1

HST image combination using the drizzle algorithm to

# Drizzlepac

[](https://dev.azure.com/spacetelescope/drizzlepac/_build/latest?definitionId=2&branchName=master) [](https://ssbjenkins.stsci.edu/job/STScI/job/drizzlepac/job/master/) [](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)

`bash $ conda config --add channels http://ssb.stsci.edu/astroconda $ conda create -n astroconda stsci `

## 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 $ python setup.py build_sphinx `

### Install drizzlepac

`bash $ python setup.py install `

##### SUPPORT for PIP Installation: Installation tools are evolving to rely on commands such as pip to build and install software. This package can now be installed using the following command:

`bash $ pip install . ` 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.