OlaPy is an OLAP engine based on Python, which gives you a set of tools for the development of reporting and analytical applications, multidimensional analysis, and browsing of aggregated data with MDX and XMLA_ support.
.. _OLAP: https://en.wikipedia.org/wiki/Online_analytical_processing .. _MDX: https://en.wikipedia.org/wiki/MultiDimensional_eXpressions .. _XMLA: https://en.wikipedia.org/wiki/XML_for_Analysis
Documentation <https://olapy.readthedocs.io/en/latest/>
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.. image:: https://raw.githubusercontent.com/abilian/olapy/master/docs/pictures/olapy.gif
Status
This project is currently a research prototype, not suited for production use.
.. image:: https://static.pepy.tech/badge/olapy
:target: https://pepy.tech/project/olapy
Licence
This project is currently licenced under the LGPL v3 licence.
Install from PyPI
You can install it directly from the `Python Package Index <https://pypi.python.org/pypi/olapy>`_::
pip install olapy
Install from Github
The project sources are stored in Github repository <https://github.com/abilian/olapy>
_.
Download from Github::
git clone git://github.com/abilian/olapy.git
To set up the application, run, ideally in a virtualenv::
cd olapy
python setup.py install
or just::
pip install -e .
[OPTIONAL]
you can use Spark <https://spark.apache.org/docs/0.9.0/python-programming-guide.html>
instead of Pandas <https://pandas.pydata.org/>
, to do so, you need just to install it::
pip install pyspark
and if you want to go back to pandas just uninstall spark with::
pip uninstall pyspark
Before running OlaPy, you need to initialize it with::
olapy init
and then you can run the server with::
olapy runserver
and then from excel, open new spreadsheet and go to : Data -> From Other Sources -> From Analysis Services and use http://127.0.0.1:8000/ as server name and click next, then you can chose one of default olapy demo cubes (sales, foodmart...) and finish.
that's it ! now you can play with data
This project must adhere to the Abilian Developer Guide <http://abilian-developer-guide.readthedocs.io/>
_.
Pull requests are welcome.
Tests
To run tests, run::
pytest tests
or simply (on Unix-like systems)::
make test
Credits
-------
This project is developed by `Abilian SAS <https://www.abilian.com>`_ and partially funded by the French Government through the `Wendelin <http://www.wendelin.io/>`_ project and the `Investissement d'avenir <http://www.gouvernement.fr/investissements-d-avenir-cgi>`_ programme.