Metadata-Version: 2.0
Name: descarteslabs
Version: 1.1.1
Summary: Descartes Labs Python Client
Home-page: https://github.com/descarteslabs/descarteslabs-python
Author: Descartes Labs
Author-email: hello@descarteslabs.com
License: Apache 2.0
Download-URL: https://github.com/descarteslabs/descarteslabs-python/archive/v1.1.1.tar.gz
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Python: ~=3.5
Provides-Extra: complete
Provides-Extra: tests
Requires-Dist: affine (>=2.2.1)
Requires-Dist: cachetools (>=2.0.1)
Requires-Dist: cloudpickle (==0.4.0)
Requires-Dist: geojson (>=2.5.0)
Requires-Dist: grpcio (<2,>=1.16.1)
Requires-Dist: numpy (>=1.17.4)
Requires-Dist: protobuf (<4,==3.11.2)
Requires-Dist: pyarrow (==0.16.0)
Requires-Dist: pytz (>=2019.1)
Requires-Dist: requests[security] (<3,>=2.20.1)
Requires-Dist: shapely (<2,>=1.6.3)
Requires-Dist: six (>=1.12.0)
Provides-Extra: complete
Requires-Dist: ipyleaflet (<1,>=0.12.2); extra == 'complete'
Requires-Dist: ipywidgets (<8,>=7.5.1); extra == 'complete'
Requires-Dist: matplotlib (>=3.0.3); extra == 'complete'
Requires-Dist: mercantile (>=1.1.2); extra == 'complete'
Requires-Dist: traitlets (<5,>=4.3.3); extra == 'complete'
Provides-Extra: complete
Requires-Dist: blosc; platform_system != "Windows" and extra == 'complete'
Provides-Extra: tests
Requires-Dist: hypothesis[numpy] (==4.24.5); extra == 'tests'
Requires-Dist: mock; extra == 'tests'
Requires-Dist: pytest (==4.3.1); extra == 'tests'
Requires-Dist: responses; extra == 'tests'

.. code-block:: bash

    pip install descarteslabs[complete]

Documentation is available at https://docs.descarteslabs.com.

Source code and version information is at https://github.com/descarteslabs/descarteslabs-python.

The Descartes Labs Platform simplifies analysis of **global-scale raster data** by providing:

  * Access to a catalog of petabytes of disparate geospatial data,
    all normalized and interoperable through one **common interface**
  * **Infrastructure** to parallelize any code across thousands of machines co-located with that data
  * The ability to **add new data to that catalog**-whether the output of analysis on existing data,
    or from a proprietary source-which can then be used as an input for more analysis
  * A Python client library to access these systems
  * Web interfaces to `browse this catalog <https://catalog.descarteslabs.com/>`_
    and `view imagery <https://viewer.descarteslabs.com/>`_, including your data you create

