The premier Open Source Data Quality solution.

DataCleaner is a Data Quality toolkit that allows you to profile, correct and enrich your data. People use it for ad-hoc analysis, recurring cleansing as well as a swiss-army knife in matching and Master Data Management solutions.

The project is maintained, but is not being actively developed:

• We ensure that DataCleaner runs on modern versions of Java on major operating systems.
• We take security bugs serious and try to keep dependencies up to date whenever there are vulnerabilities detected.
• We are open for bug reports, contributions and discussions.
• New features are driven by pull requests.

The current maintainer of the project is @kaspersorensen.

Please visit the DataCleaner community website https://datacleaner.github.io for downloads, news, documentation etc.

Visit our Gitter chat channel https://gitter.im/datacleaner/community for asking questions or discussions.

GitHub markdown pages and issues are used for developers and technical aspects only.

The main application modules are:

• api - The public API of DataCleaner. Mostly interfaces and annotations that you should use to build your own extensions.
• resources - Static resources in DataCleaner
• oss-branding - Icons and colors
• testware - Useful classes for unit testing of DataCleaner and extension code.
• engine
  • core - The core engine piece which allows execution of jobs and components as per the API.
  • xml-config - Contains utilities for reading and writing job files and configuration files of DataCleaner.
  • env - Different/alternative environments that DataCleaner can run in, for instance Apache Spark or webapp-cluster
• components
  • ... - many sub modules containing built-in as well as additional components/extensions to use with DataCleaner.
  • standard-components - a container-project that dependends on all components that are normally bundled in DataCleaner community edition.
• desktop
  • api - The public API for the DataCleaner desktop application.
  • ui - The Swing-based user interface for desktop users
• monitor
  • api - the API classes and interfaces of DataCleaner monitor

In the root of the project you can find 'Formatter-[IDE].xml' files which enable you to import the code formatting rules of the project into your IDE.

Licensed under the Lesser General Public License, see http://www.gnu.org/licenses/lgpl.txt