Understandable data streaming, auditing and mining framework for Python.

Project page: http://databrewery.org

Brewery is a python framework for:

• data streams - streaming structured data from various sources into various targets. Example of existing streams: CSV, XLS, Google Spreadsheet, relational SQL database, MongoDB, directory with YAML files, HTML, ...
• data quality monitoring
• data mining (in the future)

Focus is on understandability and transparency of the process.

To install brewery framework type:

pip install brewery

To install brewery from sources, you can get it from Github: https://github.com/Stiivi/brewery

More details about installation and requirements can be found at: http://packages.python.org/brewery/install.html

Documentation can be found at: http://packages.python.org/brewery

Main project source repository is being hosted at Github: https://github.com/Stiivi/brewery

git clone git://github.com/Stiivi/brewery.git

If you have questions, problems or suggestions, you can send a message to the Google group or write to the author.

• Report issues here: https://github.com/Stiivi/brewery/issues
• Google group: http://groups.google.com/group/databrewery

Stefan Urbanek stefan.urbanek@gmail.com

Brewery is licensed under MIT license with following addition:

If your version of the Software supports interaction with it remotely 
through a computer network, the above copyright notice and this permission 
notice shall be accessible to all users.

Simply said, that if you use it as part of software as a service (SaaS) you have to provide the copyright notice in an about, legal info, credits or some similar kind of page or info box.

For full license see the LICENSE file.