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SPECIFICTION
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DataCleaner vs Open Data Editor

DataCleaner

datacleaner.github.io

Open Data Editor

okfn.org

Side by side

FigureDataCleanerOpen Data Editor
Price fromFreeFree
Free planYesYes
Free trial——
Open sourceYes—
WindowsYesYes
macOSYesYes
LinuxYesYes
APIYes—
Self-hostedYes—
Plans published21
Spec score · Data Preparation Software8.8 (#3)7.5 (#16)
PurposeDataCleaner is an open source data quality solution with a data profiling engine for discovering and analyzing data quality.Open Data Editor is a no-code desktop app that checks tabular data for errors and shows users what needs fixing.

Plans

DataCleaner

  • Community editionFree
  • DataCleaner community editionFree

DataCleaner pricing →

Open Data Editor

  • Open Data EditorFree

Open Data Editor pricing →

In their own words

DataCleaner

DataCleaner is an open-source data quality application for profiling, validating, and cleansing data. Its profiling engine identifies patterns, missing values, character sets, and other traits in data values. It works with CSV files, Excel spreadsheets, relational databases, and NoSQL databases. Users can create cleansing rules with search and replace, regular expressions, pattern matching, or custom transformations, and use internal or external reference data to check values. DataCleaner supports batch processing, visual workflows, standardization, validation, enrichment, scheduled runs, and desktop deployment on Linux, macOS, and Windows. Named integrations and connectivity options include Apache Hadoop, Apache Spark, Pentaho Data Integration, and Apache MetaModel. Developers can embed it in other applications or build plugins; the project also describes community extensions, integrations, and shared content. The code is licensed under LGPL. The community edition is free at free. The downloads page lists 5.9.0 as the latest release; release news says version 5.8.1 runs on Java 9 through 17 and is dated February 9, 2022.

Visit datacleaner.github.io

Open Data Editor

Open Data Editor is a free, open-source desktop app for checking tabular data and showing what needs correction, without requiring code. It is intended for nonprofits, data journalists, activists, and public servants who work with data but do not know how to code. The project names Excel, Google Sheets, and CSV as relevant formats. The maker describes the app as local-first, keeping data private while users work. It aims to help people apply FAIR principles and uses open standards such as Frictionless Data specifications. AI-assisted quality features identify anomalies, suggest corrections, and handle large, dense datasets. Downloads are linked for Debian/Ubuntu, macOS, and Windows. The Open Knowledge Foundation offers a free online, gamified data-literacy course for non-technical users working with tabular data. Questions can be sent to [email protected]. The foundation was founded in 2004 and is headquartered in London, England, United Kingdom. The maker says the Digital Public Goods Alliance recognised Open Data Editor as a digital public good in 2025.

Visit okfn.org