Metadata-Version: 2.1
Name: descarteslabs
Version: 0.27.0
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/v0.27.0.tar.gz
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Dist: cloudpickle (==0.4.0)
Requires-Dist: six (>=1.12.0)
Requires-Dist: cachetools (>=2.0.1)
Requires-Dist: geojson (>=2.4.1)
Requires-Dist: shapely (<2,>=1.6.3)
Requires-Dist: affine (>=2.2.1)
Requires-Dist: pyarrow (==0.13.0)
Requires-Dist: grpcio (<2,>=1.16.1)
Requires-Dist: protobuf (<4,==3.8.0)
Requires-Dist: requests (<3,>=2.20.1)
Requires-Dist: futures ; python_version == "2.7"
Provides-Extra: complete
Requires-Dist: numpy (>=1.10.0) ; extra == 'complete'
Requires-Dist: matplotlib (>=2.1.0) ; extra == 'complete'
Requires-Dist: mercantile (>=1.0.4) ; extra == 'complete'
Requires-Dist: ipyleaflet (>=0.11.4) ; extra == 'complete'
Requires-Dist: ipywidgets (>=7.5.1) ; extra == 'complete'
Requires-Dist: traitlets (==4.3.2) ; extra == 'complete'
Requires-Dist: blosc ; (platform_system != "Windows") and extra == 'complete'

.. 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

