OpenRefine
OpenRefine is free, open-source desktop software for cleaning, transforming, and extending messy data. It processes data on the user's machine rather than through a cloud service, and its basic functions work offline because it runs as a small web server on that computer. Facets help users inspect large datasets and apply operations to filtered views. Clustering uses heuristics to bring similar values together and address inconsistencies; reconciliation matches dataset values to external databases through reconciliation services. An undo and redo history lets users revisit operations. OpenRefine imports formats including CSV, TSV, JSON, XML, spreadsheets, RDF formats, and Wikitext. It can upload data to Google Sheets and create or update Wikidata statements. Packages are available for Windows, Mac, and Linux. Java must be installed and configured, although the Mac version includes Java and some Windows packages include it. Data is not encrypted by default; users can protect it with their operating system's full-disk encryption. The project offers support through its forum, GitHub, community calls, and Gitter chat.
Who it is for
It suits people preparing and enriching data locally, including journalists, media professionals, galleries, libraries, archives, and museums. Its offline basics may help users who need to work without an internet connection.
What is good
- Processes data locally rather than in a cloud service.
- Basic functions work offline.
- Includes faceting, clustering, and reconciliation tools.
- Imports a wide range of data formats.
What to know first
- Java must be installed and configured.
- Data is not encrypted by default.
- It is desktop software, not a mobile app.
Verdict
OpenRefine offers local data cleaning and enrichment with a wide range of import formats and an operation history. Users should account for the Java requirement and the lack of default data encryption.
OpenRefine plans and pricing
All plansCompared on data transformation tools
- Free plan
- Yes
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