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Frictionless Framework vs OpenRefine

Frictionless Framework

framework.frictionlessdata.io

OpenRefine

openrefine.org

Side by side

FigureFrictionless FrameworkOpenRefine
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
Web—Yes
WindowsYesYes
macOSYesYes
LinuxYesYes
Self-hostedYesYes
Plans published11
Spec score · Data Preparation Software7.7 (#15)7.9 (#12)
PurposeFrictionless is a Python data management framework for describing, extracting, validating, and transforming tabular data.OpenRefine is a tool for cleaning, transforming and extending messy data with web services and external data.
SupportThe getting-started page directs users to Discord chat or GitHub issues for installation help.The project provides support through its forum, GitHub, community calls and Gitter chat.

Plans

Frictionless Framework

  • Frictionless FrameworkFree

Frictionless Framework pricing →

OpenRefine

  • Free open-source softwareFree

OpenRefine pricing →

In their own words

Frictionless Framework

Frictionless Framework is a free, open-source Python framework for describing, extracting, validating, and transforming tabular data. It can infer, edit, and save metadata such as table descriptions and field types, then validate tables, resources, and datasets and produce configurable reports. For data preparation, it can clean, reshape, and transfer data through pipeline and lower-level interfaces. It is available as a Python library and a command-line interface, and requires Python 3.8 or later. Supported formats include CSV, Excel, JSON, and SQL; CSV, Excel, and JSON are available by default. Its pluggable architecture supports custom checks and formats, as well as compressed files. The AWS plugin can read from and write to S3, while the CKAN portal feature can load and publish packages from a CKAN data management system. The Frictionless Framework plan costs nothing; installation is with pip. The software is distributed under the MIT License, whose terms permit use, copying, modification, distribution, sublicensing, and sale. The license provides no warranty.

Visit framework.frictionlessdata.io

OpenRefine

OpenRefine is a free, open-source tool for cleaning, transforming, and extending messy data. It works on the user's machine rather than sending data to a cloud service, and basic functions can run offline through a small web server on that computer. Facets help explore large datasets and apply changes to filtered views. Clustering uses heuristics to find similar values and address inconsistencies; reconciliation matches values to external databases through reconciliation services. Users can undo and redo operations without a stated history limit. OpenRefine imports formats including CSV, TSV, fixed-width text, JSON, XML, spreadsheets, PC-Axis, MARC, RDF formats, and Wikitext. It can also upload data to Google Sheets and create or update Wikidata statements. Releases are available for Windows, Mac, and Linux. Java must be installed and configured, although the Mac version and some Windows packages include it. Data is not encrypted by default; operating-system full-disk encryption can protect it. The project offers support through its forum, GitHub, community calls, and Gitter chat.

Visit openrefine.org