The.Power.of.DSensei_.Making.Your.Analytics.10X.Faster.mp4
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Live Demo
Running Locally
docker run -p 5001:5001 dsenseiapp/dsensei
DSensei is an AI-powered key driver analysis engine that can pinpoint the root cause of metric fluctuations within one minute. We save data teams hours to days of manual work on root cause analysis and help organizations uncover critical drivers and segments that are otherwise easy to overlook.
DSensei overcome the limitation of existing BI tools to empower you to understand the "why" behind metric fluctuations to inform better business decisions more effectively. Checkout our blog for more details.
There are multiple ways to run DSensei on your machine.
The recommended way is to use the official Docker image. Make sure you have Docker installed on your system, then run the following command:
docker run -p 5001:5001 dsenseiapp/dsensei
This will pull the latest version of the DSensei-insight image and start the application on port 5001.
To run the application locally without Docker, you need to have python3
and nodejs-18
installed on your system, then follow these steps.
- First, navigate to the
frontend
directory and install dependencies using pnpmpnpm install
or npmnpm install
- Then build the frontend
npm run build
- Switch to the
backend
directory and install python dependencies:python install -r requirements.txt
- Finally, run the application by executing the following command in the backend directory
flask run -p 5001
Please submit your bug report or feature request directly on github or in our discord group. We appreciate all your feedback!