From data science to collaborative analytics.

What is atoti

atoti combines a data visualization platform with an aggregation engine. It’s a bit like Power BI and pandas, available from a Python notebook, with native multidimensional and what-if analysis support.

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 Laugel
Chief Data Scientist

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

Analyze, explore and visualize freely


Use cases

Market risk analytics in python: Interactive rolling VaR

The Recipe for Stressed VaR calibration In this post I want to illustrate how to ...
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Beyond the Excel Paradigm for Data Analytics

atoti meets Excel Microsoft Excel is by far the most common tool for data analysis ...
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Premier league: Has the video assistant referee impacted the rankings?

There has been much debate about the video assistant referee (VAR) when it was introduced ...
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#atoti folks love a bit of #python humor, especially in the #atoti data lab. This is one of our faves from the earlier years 👇

#FridayFun #pythonprogramming #pythondeveloper #pythonforeverybody #datascience

📅Save the date: join us on July 15 for a virtual meetup to analyze Stressed #ValueatRisk Calibration and the implications of #COVID19. Host: @freejbe 🎯 Free registration:

We modeled how many points #ManUtd gained before lockdown, based on #VAR decisions. They are one of VAR's biggest point beneficiaries @premierleague #PL #MUFC #AVLMUN 👇

Join the Community

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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.