Software
Data Package is backed by a comprehensive list of software products supporting the standard. From no-code visual tool Open Data Editor to low-level drivers for 10 programming languages. Here is the list of available software:
Visual
Open Data Editor 
No-code application to explore and publish all kinds of data: datasets, tables, charts, maps, stories, and more. Forever free and open source project powered by open standards and generative AI.
Flatterer 
An opinionated JSON to CSV/XLSX/SQLITE/PARQUET/POSTGRES converter which tries to make a useful relational output for data analysis.
Data Curator 
Data Curator is a simple desktop data editor to help describe, validate and share usable open data.
Python
frictionless-py Data management framework for Python that provides functionality to describe, extract, validate, and transform tabular data
dataflows DataFlows is a simple, intuitive lightweight framework for building data processing flows in python.
TypeScript
frictionless-ts Fast TypeScript data management framework built on top of the Data Package standard and Polars DataFrames
JavaScript
frictionless-js A lightweight, standardized library accessing files and datasets, especially tabular ones (CSV, Excel).
R
Ruby
PHP
Java
datapackage-java A Java library for working with Frictionless Data Data Packages.