Metadata-Version: 2.4
Name: drizzlepac
Version: 3.11.0
Summary:  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. 
Author: Megan Sosey, Warren Hack, Christopher Hanley, Chris Sontag, Mihai Cara, Michael Dulude, Michele De La Pena, Steven Goldman
Project-URL: tracker, https://github.com/spacetelescope/drizzlepac/issues
Project-URL: documentation, https://drizzlepac.readthedocs.io/en/latest
Project-URL: source, https://github.com/spacetelescope/drizzlepac
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
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License-File: LICENSE.txt
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Requires-Dist: stsci.stimage
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Dynamic: license-file

# Drizzlepac

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![STScI Logo](doc/source/_static/stsci_logo.png)

Drizzlepac is a set of software tools maintained by the Space Telescope Science Institute (STScI) that is designed to align and combine astronomical images obtained with the Hubble Space Telescope. Drizzlepac includes core features such as AstroDrizzle, Tweakreg, and the Hubble Archival Program (HAP) data processing pipeline that creates Single-Visit and Multi-Visit Mosaics (SVMs and MVMs).

Nightly regression test results are available at [spacetelescope/RegressionTests](https://github.com/spacetelescope/RegressionTests/actions/workflows/drizzlepac.yml).

The use of this software on HST data is described at: [https://drizzlepac.stsci.edu/](https://drizzlepac.stsci.edu/)

A complete description of the documented interfaces in the code itself
can be found at: [https://drizzlepac.readthedocs.io](https://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
```

### Install Drizzlepac

```bash
$ pip install .
```

### 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
```
