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