Metadata-Version: 2.1
Name: streambatch
Version: 0.1.4
Summary: Use this package to get daily, 10m resolution NDVI time series data for any location on Earth via the Streambatch.io API.
Project-URL: Homepage, https://github.com/tammer/streambatch
Author-email: Tammer Kamel <tammer@tammer.com>
License-File: LICENSE
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Requires-Dist: fsspec>=2023.6
Requires-Dist: numpy>=1.23
Requires-Dist: pandas>=2.0
Requires-Dist: pyarrow>=12.0
Requires-Dist: requests>=2.31
Requires-Dist: s3fs>=2023.6
Requires-Dist: scipy>=1.9
Description-Content-Type: text/markdown

<img src="http://www.tammer.com/logo.png" width="300">

Streambatch is an API for time series NDVI data

- **Documentation:** https://docs.streambatch.io/reference/streambatch-api
- **Website:** https://www.streambatch.io
- **Package source code:** https://github.com/tammer/streambatch

This API provides up-to-date daily time series NDVI from 2013 to today for any location on Earth. You send a request to the server specifying any number of locations (single points or polygons).  The request is processed asynchronously. Data is returned as a pandas dataframe.

### Installation

    pip install streambatch

### Example

    from streambatch import StreambatchConnection
    connection = StreambatchConnection(api_key=YOUR_API_KEY)
    query_id = connection.request_ndvi(points=[[long,lat],[long,lat]...])
    data = connection.get_data(query_id)

