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

Real-time risk analytics with atoti

Streaming and monitoring the most granular risk data The finance industry works by constantly evaluating ...
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Data science & multidimensional analysis: the recipe to create optimal pricing strategies

A case study on better retail pricing based on location-based competitors price data through Machine ...
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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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Would you pass a @google data science interview? Try and solve this: make an unfair coin fair. Post your answers below.

The job title "data scientist" has been fairly common for about a decade. The practice has changed quite a bit. What do you think will change about the practice of data science in 2030?

(I am writing a talk on this, curious for more perspectives.)

📅 #Singapore, save the date! There's a meetup on stressed VAR calibration coming your way next week.
Host: Huifang Yeo (@YeoHuiFang1)
🎯 Free registration:
#RiskAnalysis #ValueatRisk

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.