Dependencies

This document provides an overview of the dependencies leveraged by PODPAC.

Requirements

Python (3.6 or later) — Anaconda Python Distribution recommended

OS Specific Requirements

If using pip to install, the following OS specific dependencies are required to successfully install and run PODPAC.

Windows

No external dependencies necessary, though using Anaconda is recommended.

Mac

No external dependencies necessary, though using Anaconda is recommended.

Linux

build-essential
python-dev

For debian installations:

$ sudo apt-get update
$ sudo apt-get install build-essential python-dev

Core Dependencies

See setup.py for the latest dependencies listing.

"matplotlib>=2.1",
"numpy>=1.14",
"pint>=0.8",
"scipy>=1.0",
"traitlets>=4.3",
"xarray>=0.10",
"requests>=2.18",
"pyproj>=2.4",
"lazy-import>=0.2.2",
"psutil",

numpy, scipy, xarray: array handling
traitlets: input and type handling
pint: unit handling
requests: HTTP requests
matplotlib: plotting
pyproj: coordinate reference system handling
psutil: cache management

Optional Dependencies

Optional dependencies can be installed using pip

datatype: Data Handling
- h5py: interface to the HDF5 data format
- pydap: python support for Data Access Protocol (OPeNDAP)
- rasterio: read GeoTiff and other raster datasets
- lxml: read xml and html files
- beautifulsoup4: text parser and screen scraper
- zarr: cloud optimized storage format
aws: AWS integration
- awscli: unified command line interface to Amazon Web Services
- boto3: Amazon Web Services (AWS) SDK for Python
- s3fs: Convenient Filesystem interface over S3.
algorithm: Algorithm development
- numexpr: fast numerical expression evaluator for NumPy
notebook: Jupyter Notebooks
- jupyterlab: extensible environment for interactive and reproducible computing
- ipyleaflet: LeafletJS interface for jupyter notebooks
- ipywidgets: interactive widgets for Jupyter notebooks
- ipympl: matplotlib jupyter notebook extension
- nodejs: Python bindings and utils for NodeJS