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Automated Outlier Detection and Treatment Tool

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AutoOut is an automated outlier detection and treatment tool that allows you to get better models with even better accuracy without writing a single line of code. With it's easy to use and simple interface you can detect and treat outliers in your dataset, that can help improve your final model.

How to Use:

Step 1: Install Dependencies

pip install -r requirements.txt

Step 2: Make migrations

python makemigrations

Step 3: Create tables:

python migrate

Step 4: Seed the database

python loaddata app/fixtures/process_statuses.json
python loaddata app/fixtures/processes.json

Step 5: Start the server

python runserver

Step 6: Open the app in your favorite browser

Upload your data:


Detect Outliers:


Treat Outliers:


How to contribute:

Step 1: Fork

Step 2: Write your code

Step 3: Create a pull request

Discussion Forum:

Gitter: Forum where all developers can interact with each other. They can discuss the code and approaches there. They can put ask questions to the core team


MIT License

Mate Labs Innovations Pvt Ltd

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