In Python, you can export your project's dependencies using the following methods:
1. Use pip freeze
pip freeze can list all packages and their versions installed in the current environment and save the results to a file.
pip freeze >
2. Use pipreqs
pipreqs can generate a file based on the import statement in the project, including only the dependencies that the project is actually used.
Install pipreqs:
pip install pipreqs
Generate:
pipreqs /path/to/your/project
3. Use poetry
If you use poetry to manage your project, you can export the dependencies directly:
poetry export -f --output
4. Use pip-tools
pip-tools provides a pip-compile tool that can generate detailed files based on the file.
Install pip-tools:
pip install pip-tools
Create a file:
# flask requests
Generate:
pip-compile
5. Use conda (for Anaconda/Miniconda environment)
If you use conda, you can export all packages in the environment:
conda list --export >
Summarize
- pip freeze: Export all installed packages.
- pipreqs: Generate dependencies based on project code.
- poetry: Suitable for projects managed by poetry.
- pip-tools: generate detailed dependency files through .
- conda: Suitable for conda environment.
Choose the right method according to your needs.
This is the end of this article about five methods of Python export dependencies. For more related Python export dependencies, please search for my previous articles or continue browsing the related articles below. I hope everyone will support me in the future!