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

Faster Algorithm for FRTB SBM Risk Aggregation

Building regulatory risk application with Python and atoti In this post, I want to discuss ...
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How to explain non-additive measures, Part 3: order-statistics decomposition

Interactive decomposition with atoti This article is a part of a series. Check also: Part ...
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Top count in Jupyter notebook: atoti vs Pandas + Matplotlib

How frequent do you perform a top count while doing some data analysis? In this ...
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For our fellow banking nerds: Sensitivities by trade -> weighted sensitivities by risk factor -> charges by bucket -> equity delta margin. This is the chain of measures aggregating data in this notebook. On our @github

#riskanalysis #JupyterNotebook

Now, this is what persistence looks like. Great project and problem-solving @pedro_g_s !

Next time, we hope to be on the same train ride.

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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.