Awesome Open Source
Awesome Open Source

DataCleaner

Build Status: Linux Gitter chat

DataCleaner logo

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.

Where to go for end-user information?

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.

Module structure

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

Code style and formatting

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.

Continuous Integration

There's a public build of DataCleaner that can be found on Travis CI:

https://travis-ci.org/datacleaner/DataCleaner

License

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


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