CITATION.cff

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cff-version: 1.2.0
title: 'frictionless: Python library for Data Packages'
message: >-
  To cite the Frictionless Python Framework in publications
  please use:
type: software
authors:
  - given-names: Evgeny
    family-names: Karev
    affiliation: Datist
    email: eskarev@gmail.com
  - given-names: Pierre
    family-names: Camilleri
    affiliation: multi.coop
    email: pierre.camilleri@multi.coop
  - given-names: Vitor
    family-names: Baptista
    affiliation: Fiquem Sabendo
  - given-names: Georgiana
    family-names: Bere
  - given-names: Andrea
    family-names: Borruso
    affiliation: OnData
  - given-names: Peter
    family-names: Desmet
    orcid: 'https://orcid.org/0000-0002-8442-8025'
    affiliation: Research Institute for Nature and Forest (INBO)
  - given-names: Shashi
    family-names: Gharti
    affiliation: Robust IT Concepts
  - given-names: Augusto
    family-names: Herrmann
    affiliation: >-
      Ministry of Management and Innovation in Public
      Services in Brazil
  - given-names: Adam
    family-names: Kariv
    affiliation: While True Industries
  - given-names: Chris
    family-names: Shaw
    affiliation: Democracy Club
  - given-names: Paul
    family-names: Walsh
    affiliation: LinkDigital
  - given-names: Lilly
    family-names: Winfree
    affiliation: Anaconda, Inc.
    orcid: 'https://orcid.org/0000-0001-7120-8536'
  - given-names: Edgar
    family-names: Zanella Alvarenga
    affiliation: Digi Sapiens
  - given-names: Jesper
    family-names: Zedlitz
    orcid: 'https://orcid.org/0000-0003-2664-5010'
  - name: Open Knowledge Foundation
    city: London
    country: GB
  - given-names: Sara
    family-names: Petti
    affiliation: Open Knowledge Foundation
    email: sara.petti@okfn.org
identifiers:
  - type: doi
    value: https://doi.org/10.5281/zenodo.4663759
repository: 'https://pypi.org/project/frictionless/'
repository-code: 'https://github.com/frictionlessdata/frictionless-py'
url: 'https://framework.frictionlessdata.io/'
abstract: >-
  Data management framework for Python that provides
  functionality to describe, extract, validate, and
  transform tabular data (DEVT Framework). It supports a
  great deal of data sources and formats, as well as
  provides popular platforms integrations. The framework is
  powered by the lightweight yet comprehensive Frictionless
  Data Package (https://datapackage.org/).
license: MIT