Hard analysis has never been easier
Atoti is a Data Analytics platform with a best-in-class calculation engine, a visualization suite and a real time OLAP cube, all rolled into one.
Atoti Installation Instructions
Get jump started with Atoti using the following installation instructions for your OS. While we propose using pip, there are multiple ways to install Atoti. Check out our documentation’s installation page for alternative installation methods.
Open terminal & download Python
Go to your terminal (macOS, Linux) or your command prompt (Windows) and run the following commands to verify Python is installed on your machine.
Terminal
It should display the Python version installed on your machine.
Don’t have Python installed? Visit the Python Downloads page to install Python for your operating system. Atoti follows NEP 29 and thus supports Python >= 3.10.
Install Atoti & check library
Once Python is successfully installed, use pip to install the Atoti Python package by running the following commands. You can then verify that the latest version of Atoti has been successfully installed on your machine by using `pip list`to check your installed Python packages.
Terminal
pip list
…
atoti 0.9.X
atoti-core 0.9.X
atoti-jupyterlab 0.9.X
atoti-query 0.9.X
atoti-jdbc 0.9.X
View the documentation for resources on the latest version of Atoti. Don’t have pip installed? Visit the pip installation page to install pip for your Python version.
Open JupyterLab and get started
If you're ready to explore Atoti, we have a comprehensive notebook gallery to help you get started. Clone our repository and run JupyterLab.
Terminal
Don’t have git installed? Visit the Git Downloads page to install git for your operating system.
Atoti Highlights
Best-in-Class Calculation Engine, Visualization Suite, and Real-Time OLAP Cube Combined in a Game-Changing Platform
“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
“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
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