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 firstname.lastname@example.org
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.