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How to Install Django in Kaggle

Last Updated : 2 May, 2026

Django is a high-level Python web framework used to build secure, scalable web applications quickly. While the Kaggle platform is mainly designed for data science and machine learning, Django can still be installed in notebooks for testing and learning purposes.

Why install Django in Kaggle:

  • Test Django features without setting up a local environment
  • Practice working with Django ORM, models, and project structure
  • Experiment with backend logic inside notebooks
  • Learn Django basics alongside data science workflows

Prerequisites

Before we begin, ensure we have:

  • A Kaggle account.
  • Basic familiarity with Python.
  • Some understanding of Django concepts, such as models, views, and the Django ORM (optional but helpful).

Installing Django in a Kaggle Notebook

Kaggle notebooks allow the installation of additional Python packages using pip. To install Django, follow these steps:

Step 1: Open the Kaggle notebook.

  • Go to the Kaggle Code section and create a new notebook or open an existing one.
👁 kaggle_new_Notebook
Kaggle Notebook

Step 2: Run the following command to install Django

  • Run the following command in a notebook cell:

!pip install django

👁 install-django
Install Django in Kaggle

Step 3: Verifying the Installation

  • Once Django is installed, it’s essential to verify that everything works correctly.
  • To check the installed Django version, execute the following command:

This will output the installed Django version, confirming a successful installation.

Setting Up a Django Project on kaggle

Although Kaggle is not designed for hosting web servers, you can still create and explore a Django project locally.

  • Create a Django project:

!django-admin startproject myproject

  • we can now navigate into the project folder:

%cd myproject

From here, we can interact with the Django project files and use the Django ORM, models, etc., within our Kaggle notebook.

Important Note

Kaggle does not support running or exposing live web servers. Django can only be used for:

  • Testing project structure
  • Learning Django commands
  • Exploring models and ORM
  • Running backend logic locally

Troubleshooting Common Issues

If we encounter issues during installation or setup, here are a few tips:

1. Installation Failed

  • Check your internet connection
  • Re-run the installation command

2. ImportError (Django Not Found)

  • Restart the notebook kernel
  • Re-run installation and import

3. Permission Issues

  • Rare in Kaggle, but restarting the notebook usually resolves them

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