archer-christ/datacleaner

The premier open source Data Quality solution

DataCleaner

The premier Open Source Data Quality solution.

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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

Where to go for end-user information?

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

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

License

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