QScore is a competition platform for Data Science.
It is simple, scalable and can host your competition in a minute.
It works with Node.js, Python, RabbitMQ, Redis, Auth0, AngularJS's CoreUI and it is open source!
Qscore supports a lot of users in a short time.
During the competition of "Le Meilleur Datascientist de France 2018", we had peaks of 300 submissions in less than 5 seconds. Most open source platforms we have tested do not work under these stress.
QScore is used by Zelros for "Le Meilleur Datascientist de France 2018".
You can begin with the :doc:`usage/first_submission/index` or look at the :doc:`changelog`.
Now, you can continue with :ref:`installation-docs`, and become an expert with :ref:`advanced-docs`.
.. toctree:: :maxdepth: 1 :caption: Usage usage/first_submission/index changelog Licence <license>
.. toctree:: :maxdepth: 1 :caption: Installation installation/simple/index installation/scorer/index installation/distributed/index
.. toctree:: :maxdepth: 1 :caption: Advanced advanced/understand/index
You can open an issue on this repository for any feedback (bug, question, request, pull request, etc.).
See the :doc:`License <license>`.