pydantic-settings
Settings management using Pydantic
Decision gist · record as of 2026-08-14
Yes. pydantic-settings is actively maintained, has no known vulnerabilities, low install friction, and is part of the widely-adopted Pydantic ecosystem. It's the standard choice for settings management in Pydantic-based applications and is worth installing if you're already using Pydantic or building a Python application that needs environment-based configuration.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low install friction with a pure Python wheel.
- Actively maintained with a release 7 days old and recent commits.
License · maintenance · safety
MIT (permissive) — MIT license (permissive) means you can use this freely in commercial and open-source projects with minimal restrictions.
last release 2026-08-07 (7 days) · last repo commit 2026-08-14 · 1,412 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 453,025,118 downloads/mo, #89 on PyPI
Alternatives
Verify before relying
pip install pydantic-settings
from pydantic_settings import BaseSettings
class Settings(BaseSettings):
api_key: str
debug: bool = False
settings = Settings()- Whether the package supports custom configuration sources beyond environment variables and dotenv files.
- Performance characteristics when loading large numbers of settings or from remote sources.
- Exact behavior when environment variables conflict with dotenv file values.
What it is and what it does
pydantic-settings is a Pydantic-based configuration management library that reads application settings from environment variables, .env files, and other sources, then validates them against a schema you define. It extends Pydantic's core validation to the settings layer, letting you declare your app's configuration as a typed class and automatically load and validate it at startup.
You define a settings class inheriting from BaseSettings, annotate fields with types and defaults, and the library handles loading from environment variables and dotenv files automatically. This is commonly used in web applications, CLI tools, and services that need environment-specific configuration without manual parsing or type conversion.
Use it for
- Load database connection strings and credentials from environment variables in a web application.
- Manage API keys, feature flags, and debug settings across development, staging, and production environments.
- Read configuration from a .env file during local development and from environment variables in containerized deployments.
- Validate that required settings are present and have the correct type before the application starts.
- Support multiple configuration sources (env vars, dotenv, JSON files) with a single unified schema.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
pydantic-settings is actively maintained, has no known vulnerabilities, low install friction, and is part of the widely-adopted Pydantic ecosystem. It's the standard choice for settings management in Pydantic-based applications and is worth installing if you're already using Pydantic or building a Python application that needs environment-based configuration.
Install
pydantic-settings on PyPI
Before you install
Low install friction with a pure Python wheel. Actively maintained with a release 7 days old and recent commits. Depends on pydantic, python-dotenv, and typing-inspection—all stable, widely-used packages.
Requires Python 3.10 or later.
License in practice
MIT license (permissive) means you can use this freely in commercial and open-source projects with minimal restrictions.
Quickstart
pip install pydantic-settings
from pydantic_settings import BaseSettings
class Settings(BaseSettings):
api_key: str
debug: bool = False
settings = Settings()Verify before relying
- Whether the package supports custom configuration sources beyond environment variables and dotenv files.
- Performance characteristics when loading large numbers of settings or from remote sources.
- Exact behavior when environment variables conflict with dotenv file values.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagespydanticpython-dotenvtyping-inspection |
| Maintenance | Actively maintained 7 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 453,025,118 / month, #89 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleEnvironment :: MacOS XFramework :: PydanticFramework :: Pydantic :: 2Intended Audience :: DevelopersIntended Audience :: Information TechnologyIntended Audience :: System AdministratorsLicense :: OSI Approved :: MIT LicenseOperating System :: POSIX :: LinuxOperating System :: UnixProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: InternetTopic :: Software Development :: Libraries :: Python Modules |
Evidence: pydantic_settings-2.15.0-py3-none-any.whl
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See also pydantic-settings-azure-app-configuration · typed-settings · pydantic-ai · environ-config · pydantic-ai-harness · dotenv · pydantic-deep · pydantic-evals · load-dotenv