Skip to main content

Python library for working with Spatiotemporal Asset Catalog (STAC).

Project description

PySTAC

Build Status PyPI version Conda (channel only) Documentation codecov Gitter License

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

Installation

Install from PyPi (recommended)

pip install pystac

If you would like to enable the validation feature utilizing the jsonschema project, install with the optional validation requirements:

pip install pystac[validation]

If you would like to use the orjson instead of the standard json library for JSON serialization/deserialization, install with the optional orjson requirements:

pip install pystac[orjson]

If you would like to use a custom RetryStacIO class for automatically retrying network requests when reading with PySTAC, you'll need urllib3:

pip install pystac[urllib3]

Install from source

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

See the installation page for more options.

Documentation

See the documentation page for the latest docs.

Developing

See contributing docs for details on contributing to this project.

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:

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pystac-1.7.1.tar.gz (114.7 kB view details)

Uploaded Source

Built Distribution

pystac-1.7.1-py3-none-any.whl (153.9 kB view details)

Uploaded Python 3

File details

Details for the file pystac-1.7.1.tar.gz.

File metadata

  • Download URL: pystac-1.7.1.tar.gz
  • Upload date:
  • Size: 114.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.2

File hashes

Hashes for pystac-1.7.1.tar.gz
Algorithm Hash digest
SHA256 a01da05cb29d0eb995a11e32a6d15067f653ceb8c64f61f912ac99c7e9ff4f2e
MD5 e7f864732e6e50d8fa85b6f9070df16c
BLAKE2b-256 5d652cf4fe54eea531e7c676fd4f02683253fbbf23d4b48a78c480929b557598

See more details on using hashes here.

File details

Details for the file pystac-1.7.1-py3-none-any.whl.

File metadata

  • Download URL: pystac-1.7.1-py3-none-any.whl
  • Upload date:
  • Size: 153.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.2

File hashes

Hashes for pystac-1.7.1-py3-none-any.whl
Algorithm Hash digest
SHA256 6c81b213291fd25adca2e0e4ddcf7b111154e1a59d0d14d9f02c5df87649f164
MD5 a0a20e45f67aa7a7d54a4ef4dfc48d32
BLAKE2b-256 0ba5b6d612dcf2bbd14d0512b5be90851ce05d434af2f1caf3d41feaaad4299a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page