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OpenRefine: Applications, Supported formats & Uses

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.

Language: English [EN]
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OpenRefine topic overview

The analysis highlights Applications, Supported formats and Uses as prominent areas in the source structure around OpenRefine.

Related topics
28
Source areas
4
Connected nodes
32
Extracted relationships
43
Concept neighborhoods
16
Bridge connections
32

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Supported formats · 11 topics
Overview · 9 topics
Uses · 6 topics
Development · 2 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

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

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. 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.

How OpenRefine connects Entity context

The extracted context around OpenRefine shows recurring relationship patterns in the source. For example, OpenRefine → David Huynh, Freebase, Freebase Gridwords Google Refine, Freebase Gridworks, Google, Google Refine, January, July, Metaweb, November, October, On, Since Another extracted example is OpenRefine → Adding, Aligning, Cleaning, DOM, For, Freebase, HTML, JSON, Parsing, Transformation, URL, Wikidata. Use these groups to spot repeated connection types before inspecting the individual relationships.

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

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

OpenRefine relationships Subject–Predicate–Object triples

TTTA extracted 43 structured relationships around OpenRefine. Examples in this analysis include OpenRefine → Available in → English, Italian, Chinese, Japanese, French, German and OpenRefine → Developers → Freebase, then Google, now open source community. The table shows each extracted connection, where it came from and its confidence.

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

The concept neighborhoods around OpenRefine bring nearby vocabulary together. In this analysis, examples include Open, Source and Example. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • OpenRefine
    • Open
    • Source
    • Example
    • Column
    • Facets
    • One
    • Projects
    • Using
    • Rows
    • Freebase
    • Transformation
    • Formats
  • openrefine
    • Open
    • Source
    • Example
    • Column
    • Facets
    • One
    • Projects
    • Using
    • Rows
    • Freebase
    • Transformation
    • Formats
  • data wrangling
    • Formats
    • Spreadsheets
    • Cells
    • Supported
    • Transformation
    • Openrefine
    • Example
    • Google
    • Columns
    • Json
    • Tsv
    • Csv
  • supported formats
    • Csv
    • File
    • Tsv
    • Supported
    • Input
    • Google
    • Spreadsheets
    • Transformation
    • Example
    • Json
    • Table
    • Using
  • google spreadsheets
    • Tsv
    • Supported
    • Google
    • Spreadsheets
    • Refine
    • Json
    • Table
    • Input
    • Metaweb
    • Transformation
    • Using
    • Wikidata
  • csv
    • Tsv
    • File
    • Formats
    • Spreadsheets
    • Supported
    • Google
    • Columns
    • Database
    • Define
    • Json
    • Similar
    • Table
  • google
    • Supported
    • Tsv
    • Spreadsheets
    • Refine
    • Json
    • Metaweb
    • Table
    • Using
    • Wikidata
    • Written
    • Input
    • Open
  • tsv
    • Csv
    • Spreadsheets
    • Supported
    • Google
    • Columns
    • Define
    • Formats
    • Json
    • Table
    • File
    • Input
    • Data

Connections between topic areas Semantic bridges

For OpenRefine, one of the stronger structural bridges in this analysis connects OpenRefine with Supported formats. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
OpenRefineSupported formats · splits 21 ⟂ 12
OpenRefineOverview · splits 23 ⟂ 10
OpenRefineUses · splits 26 ⟂ 7
OpenRefineDevelopment · splits 30 ⟂ 3

Map overview Semantic statistics

OpenRefine

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

Source & methodology

TTTA analyzes the structure around OpenRefine to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications, Supported formats & Uses, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — OpenRefine · EN edition · Analysis: TopicsToTalkAbout

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