Config.py Apr 2026

The most straightforward approach is defining variables directly in a .py file and importing them.

Using libraries like Pydantic Settings allows you to create a "Settings" class that automatically pulls from environment variables and validates data types. config.py

# config.py DEBUG = True DATABASE_URL = "sqlite:///./test.db" Use code with caution. Copied to clipboard : No extra libraries needed; very fast. Cons : No built-in validation for types or missing values. Copied to clipboard : No extra libraries needed; very fast

: Your logic doesn't need to know where a database is; it just needs the connection string provided by the config. : By keeping sensitive credentials in a config

: By keeping sensitive credentials in a config.py (and adding it to your .gitignore ), you prevent accidentally leaking secrets to public repositories.

Depending on your project's complexity, there are several ways to structure this file:

Flask often uses classes to manage environments. You can create a base config and override it for specific environments.