atoti

What’s New in atoti v0.6.0: Performance Upgrades

Expect many changes as part of the latest upgrade in atoti, including enhanced performance and improved visuals As part of v0.6.0, we are making great improvements to the atoti library: better performance, more explicit data handling, and standardization of data storage naming. Read on for more details. Improved query times and...

A novel approach to inventory management

In this article, we will explore a method to tackle the issue of optimizing inventory management thanks to quantile based time-series predictions and leveraging atoti — a data visualization platform with an aggregation engine and native multidimensional and what-if analysis support. Inventory management is one of the most critical components...

Dynamic pivot tables in notebooks: atoti

Drill down to where it matters Edit: Note that this article is based on atoti version 0.4.3 and some features may no longer be relevant. Check out the atoti documentation for the latest features. If you are reading this article because of the title, you probably already know what a...

atoti: interactive visualization in Python notebooks

Python notebooks are the best tool for data scientists, until they’re not. Streamlined, simple to use and fairly powerful when it comes to organizing and analyzing data, they nevertheless have several limitations: Visualization libraries don’t really let you explore the data interactively Pandas is great for data wrangling, but when...

Getting Started with atoti

atoti is a Python library for performing data aggregation and creating data-viz widgets such as pivot tables and charts in a Jupyter notebook. It comes with a business intelligence web application, enabling fuss-free dashboard creation and sharing. Note: This article has been tested against atoti 0.5.2. Installation atoti can be...