BI analytics. Boosted.

atoti highlights

  • Analyze millions of rows on your laptop and up to several terabytes in the cloud
  • Create what-if scenarios and compare them side by side
  • Enable multi-dimensional analysis with OLAP cubes
  • Visualize data in interactive widgets without coding from Jupyter notebook
  • Share results with peers and partners
  • Explore data from atoti’s dashboarding web application or Excel

What users say:

Great python lib for exploratory data analysis, kinda your own small #Tableau right within #Jupyter notebook. Very serious backend behind, efficient RAM management (in-memory cube).

Julien LaugelChief Data Scientist

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Use cases

Create a Python web application with a few clicks

Experience multi-dimensional data analytics with atoti in Binder Iโ€™m extremely excited to share how we ...
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atoti: Your license has expired

Simply upgrade your atoti library to continue using This article will address how to continue ...
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IoT device traffic to demonstrate office personnel traffic

IoT, or internet of things, refers to the world of devices or objects which connect ...
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Learning python is a continuous process๐Ÿ”

You have to keep revising concepts to get strong hands on them.๐Ÿ’ช๐Ÿ

Here are the basics of python's 'functions' and 'data types' cheat sheets to archive just that๐Ÿ”ฝ๐Ÿ‘

In this notebook, discover how to interactively upload a CSV of user's choice and spin up a BI application, ready for users to build their own analytics dashboards. ๐Ÿ“Š


#businessintelligence #python #datavisualization

How about a break to check this creative use of OLAP? ๐Ÿ˜
Joo Hiang used #atoti to build an app which, after aggregating combat data & Pokemon stats, provides advice on which Pokemon to send out for a certain opponent and much more:


#python #BItool

atoti works with

atoti leverages several technologies such as Python, Java, Javascript and uses Conda for distribution.
It works with all major notebooks, with enhanced features for Jupyter and SageMaker.
Run it on your laptop, server or in any cloud environment.