Difference Between venv and uv

Both uv
and venv
are used for managing Python virtual environments, but they are not the same. Let me break it down clearly:
1. venv (built-in Python module)
What it is: A standard library module that comes with Python (since Python 3.3).
Purpose: Creates isolated environments where you can install packages without affecting the system Python.
Command example:
python -m venv myenv source myenv/bin/activate # (Linux/Mac) myenv\Scripts\activate # (Windows)
Features:
Lightweight and built into Python.
Doesn’t manage dependencies efficiently (you usually need
pip
+requirements.txt
).No built-in lockfile mechanism.
2. uv (from Astral, 2024+)
What it is: A fast Python package and environment manager (a new alternative to pip, poetry, conda, etc.).
Purpose: Not just creating virtual environments but also managing dependencies, lockfiles, and reproducible builds.
Command example:
uv venv myenv # create a virtual environment uv pip install numpy
Features:
Much faster than pip and venv (written in Rust).
Built-in dependency resolver (like Poetry).
Uses lockfiles for reproducibility.
Can replace
pip
,venv
,pip-tools
, and evenpoetry
in many workflows.Cross-platform and modern.
🔑 Key Differences
Feature | venv | uv |
Part of Python stdlib? | ✅ Yes | ❌ No (needs install) |
Speed | Normal | ⚡ Very fast |
Creates virtual envs | ✅ Yes | ✅ Yes |
Dependency management | ❌ No | ✅ Yes |
Lockfile support | ❌ No | ✅ Yes |
Replacement for pip | ❌ No | ✅ Yes |
Ease of use | Basic | Advanced |
👉 In short:
Use
venv
if you just want a basic, built-in way to create a virtual environment.Use
uv
if you want a modern, faster, all-in-one package & environment manager with reproducibility.
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Written by

Shahrukh Ahmad
Shahrukh Ahmad
Passionate about coding and the limitless possibilities of cloud technology. I thrive on turning ideas into scalable, efficient solutions. Let's connect and explore the exciting synergy between code and the cloud! 🤖 AI / ML🧠| 📊 - Data Science |Azure☁️AWS | Linux🐧| Windows🖥️| Python | JAVA | 🐳 Docker | Git | Gitlab | ⚓️Kubernetes | 🚀 Jenkins CI/CD | 🏗️ terraform | SQL.