This means there is a growing ecosystem of data tools that you can use to work with Open Data Blend Datasets.
The Frictionless Libraries simplify integrations with the Open Data Blend Data API from many languages including Python and R. More specifically, you can use the Data Package libraries to programmatically access our datasets and integrate them into your solutions.
An up-to-date list of the supported libraries can be found here, along with documentation on how to use them. Each library varies slightly in its implementation, but the general concepts for working with a Data Package are the same.
The following examples demonstrate how you could use the Python library to interact with the Open Data Blend Dataset API. This is the most mature Frictionless library to date, and one that we recommend. The libraries for the other languages implement a similar method to load data packages and these are explained in each library's documentation.
Installing the Python Library
Install the frictionless module.
pip install frictionless
Ensure that frictionless 4.0 or later is installed. Prior versions are not stable releases.
Import the Package submodule from the frictionless module.