In this article, we will learn how to fix modulenotfounderror: no module named ‘django_heroku’.
The error occurs when the program forget to install django_heroku module.
Why the error no module named django_heroku occur?
The error no module named django_heroku occur because it is not compatible the installation of psycopg2 with django_heroku module.
When you’re ready, so let’s begin!
Read also: Modulenotfounderror: No Module Named Numpy [SOLVED]
How to Solve no module named django_heroku?
Time needed: 2 minutes
Here are the two steps to fix this no module named django_heroku error.
- Step 1: Install django_heroku packages
If the django_heroku module is not installed the ModuleNotFoundError will occur.
Then to fix this problem we need to install the django_heroku.
We will used the PIP Function:
For the PIP 2: pip install django-heroku
For the PIP 3: pip3 install django-herokuFor the installation of Anaconda, we will use the command:
conda install -c conda-forge django-herokuAfter installing the django_heroku module, The error will already be solve.
If not, then we must go to the following solution.
- Step 2: Install psycopg2
The Django_heroku it is required to install “psycopg2“, Therefore we need to install the psycopg2 and psycopg2-binary.
We will used the PIP function:
First: pip install psycopg2
Second: pip3 install psycopg2
Third: pip install psycopg2-binary
Fourth: pip3 install psycopg2-binaryFor the installation of Anaconda, we will use the command:
conda install -c anaconda psycopg2
conda install -c conda-forge psycopg2-binary - Step 3: Run Django with Python 3
According to django-heroku documentation, “Only Python 3 is supported”.
Which is means we need to run the Django project with Python 3.
We will this command to Run Django with Python 3:
python3 manage.py runserver
Diagnostic checklist for “No module named ‘django_heroku'”
- Verify pip install target. Run
pip show django_heroku— if not installed, runpip install django_heroku. - Check the active Python interpreter.
which python(mac/Linux) orwhere python(Windows). Both pip and python must point to the same environment. - Check virtual environment activation. If you use venv/conda, activate before installing:
source .venv/bin/activate. - Rule out uppercase/lowercase. Python imports are case-sensitive:
import PyPDF2notimport pypdf2. - Rule out the pip-vs-package-name mismatch. Some packages install under a different name than you import (e.g.
pip install beautifulsoup4→import bs4).
Installing django_heroku — Python web framework
# Standard install in a virtual environment python -m venv .venv source .venv/bin/activate # or .venv\Scripts\activate on Windows pip install django_heroku # For FastAPI with the ASGI server pip install "fastapi[all]" # For Django with all common extras pip install django djangorestframework
Common causes for missing web-framework modules
- Wrong virtual environment. Web projects use per-project venvs. Always activate before installing.
- Docker vs local install. If your app runs in Docker, install inside the container, not on the host.
- Missing ASGI/WSGI server. FastAPI needs uvicorn. Flask/Django need gunicorn in production.
- Version conflicts. Django and DRF must be compatible versions (check Django release notes).
Working code example
import django_heroku
print(django_heroku.__version__)
# Quick "hello world" for Flask
# from flask import Flask
# app = Flask(__name__)
# @app.route("/")
# def hi(): return "hello"
Best practices
- Use a virtual environment for every project. Never install Django globally.
- Pin all versions in requirements.txt or pyproject.toml. Frameworks break with API changes.
- Add a Dockerfile to make setup reproducible across machines and CI.
Official documentation
Frequently Asked Questions
What is Python ModuleNotFoundError and what causes it?
ModuleNotFoundError (a subclass of ImportError) is raised when Python cannot find the module you tried to import. Common causes: the package isn’t installed (pip install missing), wrong virtual environment activated, typo in module name, or Python can’t find your local module on the import path. The error message names exactly which module is missing.
How do I fix ‘ModuleNotFoundError: No module named X’?
Run pip install X first. If that succeeds but you still get the error, check which Python you’re using (which python OR python –version) vs which pip (which pip OR pip –version), they must match. Common gotcha: pip points to system Python 3.9 but you’re running python3.11 in a venv. Inside the venv, use python -m pip install X to be sure pip matches the active Python.
Why does my code work in one environment but not another?
Different Python versions or different installed packages. To diagnose: pip freeze > requirements.txt on the working environment, then pip install -r requirements.txt on the broken one. Use virtualenv (python -m venv venv) or conda for every project to avoid system-wide package collisions.
Is ModuleNotFoundError the same as ImportError?
ModuleNotFoundError is a subclass of ImportError added in Python 3.6. It specifically means ‘no such module exists.’ Plain ImportError covers a wider set: module exists but a name inside it can’t be imported (e.g. ‘cannot import name X from Y’). except ImportError catches both; except ModuleNotFoundError catches only the missing-module case.
Where can I find more ModuleNotFoundError fixes?
Browse the ModuleNotFoundError reference hub for 198+ specific module fixes (TensorFlow, Flask, Django, pandas, numpy, etc.). For related issues see ImportError. For broader Python setup see Python Tutorial hub.
Conclusion
To conclude, in this article we already learn all the solutions to fixed or solved modulenotfounderror: no module named django_heroku
Adones Evangelista
Programmer & Technical Writer at PIES IT Solution
Adones Evangelista is a programmer and writer at PIES IT Solution, author of over 900 tutorials and error-fix guides at itsourcecode.com. Specializes in JavaScript, Django, Laravel, and Python error debugging covering ValueError, TypeError, AttributeError, ModuleNotFoundError, and RuntimeError, plus C/C++ and PHP capstone projects for BSIT students.
Expertise: JavaScript · Python · Django · Laravel · Error Debugging · C/C++
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