{ "info": { "author": "Azaveea", "author_email": "info@azavea.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 2 - Pre-Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: Apache Software License", "Natural Language :: English", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6" ], "description": "## PySTAC\n[![Build Status](https://api.travis-ci.org/azavea/pystac.svg?branch=develop)](https://travis-ci.org/azavea/pystac)\n[![PyPI version](https://badge.fury.io/py/pystac.svg)](https://badge.fury.io/py/pystac)\n[![Documentation](https://readthedocs.org/projects/pystac/badge/?version=latest)](https://pystac.readthedocs.io/en/latest/)\n[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)\n\nPySTAC is a library for working with [SpatialTemporal Asset Catalog](https://stacgeo.org) in Python 3.\n\n## Installation\n\nPySTAC has a single dependency (`python-dateutil`).\nPySTAC can be installed from pip or the source repository.\n\n```bash\n> pip install pystac\n```\n\nFrom source repository:\n\n```bash\n> git clone https://github.com/azavea/pystac.git\n> cd pystac\n> pip install .\n```\n\n\n#### Versions\nTo install a specific versions of STAC, install the matching version of pystac.\n\n```bash\n> pip install pystac==0.2.0\n```\n\nThe table below shows the corresponding versions between pystac and STAC:\n\n| pystac | STAC |\n| ------ | ---- |\n| 0.2.x | 0.8.x |\n\n## Documentation\n\nSee the [documentation page](https://pystac.readthedocs.io/en/latest/) for the latest docs.\n\n## Developing\n\nTo ensure development libraries are installed, install everything in `requirements-dev.txt`:\n\n```\n> pip install -r requirements-dev.txt\n```\n\nUnit tests are in the `tests` folder. To run unit tests, use `unittest`:\n\n```\n> python -m unittest discover tests\n```\n\n## Running the tutorials\n\nThere are tutorials written as jupyter notebooks in the `tutorials` folder. 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