Python developers often ask whether there is a standard way to create a project structure—and whether newer tools like uv are replacing older methods. The short answer is: there is no single official standard, but there are widely adopted practices.

This article explains where uv fits today, what is considered standard in practice, and what other methods are still mostly used.

Is There an Official Standard for Python Project Structure?

No.
Python does not mandate a single command or tool to create project structure.

What is standardized:

• pyproject.toml (PEP 517, PEP 518, PEP 621)
• How tools read project metadata
• How builds and dependencies are declared

What is not standardized:

• The command used to create the project
• The tool used to manage environments

This is documented in Python Enhancement Proposals and PyPA guidance.

What Is uv?

uv is a modern Python package and environment manager developed by Astral (the team behind Ruff).

Key, verifiable facts:

• uv is written in Rust
• Distributed primarily as a standalone binary
• Focused on speed and simplicity
• Uses pyproject.toml as the core configuration
• Introduced project initialization via:

uv init

What Does uv init Do?

When you run:

uv init

It:

• Creates a pyproject.toml
• Sets up project metadata (PEP 621 compliant)
• Prepares the project for dependency management with uv

Important clarification:

• uv init does not invent a new structure
• It follows modern Python packaging standards
• It is intentionally minimal

Is uv the Standard Way Today?

No — not yet.

Factually accurate status (as of 2025):

• uv adoption is growing rapidly
• It is not the most widely used method
• It has not replaced pip-based or Poetry-based workflows in most codebases

This is observable from:

• Existing enterprise Python projects
• Long-standing tooling documentation
• Community adoption patterns

Most Commonly Used Methods to Create Python Project Structure

1. pip + venv (Most Common Overall)

This remains the de facto standard, especially in:

• Enterprise projects
• Older codebases
• Official Python tutorials

Typical flow:

python -m venv .venv
source .venv/bin/activate
pip install requests

Structure is usually created manually.

Why it’s still dominant:

• Included with Python
• Stable
• Well-understood

2. Poetry (poetry new, poetry init)

Poetry is one of the most popular structured project tools.

poetry new my_project

Creates:

• pyproject.toml
• Standardized folder layout
• Dependency management

Facts:

• Widely used in modern open-source projects
• Strong community adoption
• Slower than uv, but very mature

3. Setuptools + Manual Structure

Common in:

• Python libraries
• Long-lived projects

Characteristics:

• pyproject.toml or setup.cfg
• Structure created manually
• Still compliant with modern standards

This method remains fully supported by PyPA.

4. Framework-Specific Generators

Used when applicable:

• Django → django-admin startproject
• Cookiecutter templates
• Framework-provided scaffolding

These are context-specific, not general standards.

5. uv (uv init)

Current position:

• Modern
• Fast
• Minimal
• Increasing adoption

But:

• Not yet dominant
• Not mandated by any authority
• Still new compared to pip and Poetry

Factually accurate description:

uv aligns with modern standards but is not itself the standard.

Comparison Summary

When uv Is a Good Choice

Use uv if:

• You are starting a new project
• You want speed
• You want minimal configuration
• You want to follow modern packaging standards

Avoid (for now) if:

• Your organization mandates Poetry or pip
• You maintain legacy Python projects
• You need long-established tooling guarantees

Key Takeaway

uv does not replace the Python standard — it implements it efficiently.

There is no single official way to create Python project structure.
uv is a strong modern option, but pip-based workflows and Poetry remain more widely used today.