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OpenRefine

OpenRefine is an open-source desktop application for data cleanup and transformation to other formats, an activity commonly known as data wrangling. It is similar to spreadsheet applications, and can handle spreadsheet file formats such as CSV, but it behaves more like a database.

Applications, Supported formats & Uses

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Research this topic

Explore the main themes, entities and connections around OpenRefine. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Supported formats

11 related topics

Uses

6 related topics

Development

2 related topics

Overview

9 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Available in
English, Italian, Chinese, Japanese, French, German
Developers
Freebase, then Google, now open source community
License
BSD License
Platform
Microsoft Windows, Linux, macOS
Release
November 10, 2010; 15 years ago (2010-11-10)
Repository
github.com/OpenRefine/OpenRefine

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Uses

Supported formats

Development

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

OpenRefine

Nodes33
Edges32
Triples43
Avg. degree1.94
Density0.060606
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

OpenRefine

Top relations

related to Development · 13
OpenRefine → David Huynh, Freebase, Freebase Gridwords Google Refine, Freebase Gridworks, Google, Google Refine, January, July, Metaweb, November, October, On, Since
related to Uses · 12
OpenRefine → Adding, Aligning, Cleaning, DOM, For, Freebase, HTML, JSON, Parsing, Transformation, URL, Wikidata
related to External links · 3
OpenRefine → Beginners Tutorial, Emma Carroll, Official
Type · 2
OpenRefine → Data management, Data visualization
Available in · 1
OpenRefine → English, Italian, Chinese, Japanese, French, German
Developers · 1
OpenRefine → Freebase, then Google, now open source community
License · 1
OpenRefine → BSD License
Platform · 1
OpenRefine → Microsoft Windows, Linux, macOS
Release · 1
OpenRefine → November 10, 2010; 15 years ago (2010-11-10)
Repository · 1
OpenRefine → github.com/OpenRefine/OpenRefine

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data formats example google transformation cells rows freebase refine web csv supported file spreadsheets similar database operates one column done

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
OpenRefineAvailable inEnglish, Italian, Chinese, Japanese, French, German1.00infobox
OpenRefineDevelopersFreebase, then Google, now open source community1.00infobox
OpenRefineLicenseBSD License1.00infobox
OpenRefinePlatformMicrosoft Windows, Linux, macOS1.00infobox
OpenRefineReleaseNovember 10, 2010; 15 years ago (2010-11-10)1.00infobox
OpenRefineRepositorygithub.com/OpenRefine/OpenRefine1.00infobox
OpenRefineStable release3.10.1 / 4 March 2026; 5 months ago (4 March 2026)1.00infobox
OpenRefineTypeData management1.00infobox
OpenRefineTypeData visualization1.00infobox
OpenRefineWebsiteopenrefine.org1.00infobox
OpenRefineWritten inJava1.00infobox
OpenRefineis aopen-source desktop application for data cleanup and transformation to other formats0.90text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
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