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Tags: #python
User: Munian A (munian.alagan@gmail.com)
Created: 23/02/2025, 16:41:35
Updated: 23/02/2025, 17:18:01
Exported: 23/02/2025, 17:34:19
pip vs poetry ?
Both pip and Poetry are package management tools for Python, but they serve slightly different purposes and have different approaches. Here's a comparison:
requirements.txt or pyproject.toml (with pip-tools).| Feature | pip | Poetry |
|---|---|---|
| Dependency Management | Uses requirements.txt or pyproject.toml (with pip-tools) |
Uses pyproject.toml and poetry.lock |
| Virtual Environments | Requires venv or virtualenv separately |
Automatically manages virtual environments |
| Dependency Resolution | Installs the latest versions unless pip-tools is used |
Uses a more robust dependency resolver |
| Installation Speed | Faster but can have dependency conflicts | Slower but ensures compatibility |
| Publishing | Requires twine and manual setup |
Built-in commands to publish packages to PyPI |
| Usability | Standard and widely adopted | More user-friendly for managing projects |
pip if:
venv, requirements.txt).Poetry if:
Yes, you can use pip to install poetry (pip install poetry) and then use poetry for dependency management while still using pip for specific installations when needed.
Would you like a hands-on guide for setting up Poetry or Pip in a project? 🚀
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