tomaugspurger / pystac

Python library for working with any SpatioTemporal Asset Catalog (STAC)

PySTAC

PySTAC is a library for working with SpatialTemporal Asset Catalog in Python 3.

Installation

PySTAC has a single dependency (python-dateutil). PySTAC can be installed from pip or the source repository.

> pip install pystac

if you'd like to enable the validation feature utilizing the jsonschema project, install with the optional validation requirements:

> pip install pystac[validation]

From source repository:

> git clone https://github.com/stac-utils/pystac.git
> cd pystac
> pip install .

Versions

To install a specific versions of STAC, install the matching version of pystac.

> pip install pystac==0.5.*

The table below shows the corresponding versions between pystac and STAC:

pystac	STAC
1.x	1.0.x
0.5.x	1.0.0-beta.*
0.4.x	0.9.x
0.3.x	0.8.x

Documentation

See the documentation page for the latest docs.

Developing

See contributing docs

Running the quickstart and tutorials

There is a quickstart and tutorials written as jupyter notebooks in the docs/tutorials folder. To run the notebooks, run a jupyter notebook with the docs directory as the notebook directory:

> PYTHONPATH=`pwd`:$PYTHONPATH jupyter notebook --ip 0.0.0.0 --port 8888 --notebook-dir=docs

You can then navigate to the notebooks and execute them.

Requires Jupyter be installed.