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dynaconf

The dynamic configurator for your Python Project

Worth itPyPI LibrariesReleased Aug 20267.2M downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — dynaconf-3.3.5-py3-none-any.whl
v3.3.5 · released 2026-08-05 · Python <3.15,>=3.10

Yes. Dynaconf is actively maintained, has no runtime dependencies, supports current Python versions, and solves a common problem—separating configuration from code—in a straightforward way. The MIT license imposes no restrictions. Use it if you need environment-based configuration, secrets protection, or multi-format settings support; skip it only if your project's configuration needs are minimal.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Low friction installation with no runtime dependencies.
  • Active maintenance—last release 9 days ago, repository at 4320 stars, supporting current Python versions (3.10–3.14).

License · maintenance · safety

MIT (permissive) — MIT license (permissive) places no restrictions on use, modification, or distribution in proprietary or open-source projects.

last release 2026-08-05 (9 days) · last repo commit 2026-08-05 · 4,320 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 7,190,562 downloads/mo, #1,772 on PyPI

Verify before relying

pip install dynaconf

from dynaconf import Dynaconf

settings = Dynaconf(
    envvar_prefix="DYNACONF",
    settings_files=['settings.toml', '.secrets.toml']
)

print(settings.username)
print(settings['database.name'])
  • Whether Vault and Redis integration require additional system setup or dependencies beyond the base package
  • Performance characteristics when managing large configuration files or deeply nested structures
  • Validation schema capabilities and whether they cover common use cases like type coercion and range constraints
Same gist for agents: .md · .json

What it is and what it does

Dynaconf is a configuration management library that centralizes application settings across multiple file formats (toml, yaml, json, ini, py) and environment layers. It reads from settings files, secrets files, and environment variables—with environment variables taking precedence—allowing the same codebase to adapt to development, testing, and production without code changes. The library handles type casting automatically, supports nested key access via dot notation or bracket syntax, and includes a CLI for initialization, validation, and export.

The package is designed around the 12-factor application pattern, making it especially useful for teams that need to separate configuration from code and protect sensitive data. It includes built-in extensions for Django and Flask, optional integration with Hashicorp Vault and Redis for centralized secrets storage, and schema validation for catching configuration errors early. With no runtime dependencies, it installs cleanly and integrates into existing projects with minimal friction.

Use it for

  • Manage database credentials, API keys, and other secrets separately from application code using .secrets files and environment variables
  • Configure the same application for development, testing, and production environments using layered settings files without code changes
  • Validate configuration schemas at startup to catch missing or malformed settings before the application runs
  • Override specific settings per execution using environment variables without editing files
  • Integrate with Django or Flask projects to centralize settings management across web framework configurations
  • Store and retrieve secrets from Hashicorp Vault or Redis for teams requiring centralized secrets management

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

Dynaconf is actively maintained, has no runtime dependencies, supports current Python versions, and solves a common problem—separating configuration from code—in a straightforward way. The MIT license imposes no restrictions. Use it if you need environment-based configuration, secrets protection, or multi-format settings support; skip it only if your project's configuration needs are minimal.

Install

dynaconf on PyPI

Before you install

Low friction installation with no runtime dependencies. Active maintenance—last release 9 days ago, repository at 4320 stars, supporting current Python versions (3.10–3.14).

License in practice

MIT license (permissive) places no restrictions on use, modification, or distribution in proprietary or open-source projects.

Quickstart

pip install dynaconf

from dynaconf import Dynaconf

settings = Dynaconf(
    envvar_prefix="DYNACONF",
    settings_files=['settings.toml', '.secrets.toml']
)

print(settings.username)
print(settings['database.name'])

Verify before relying

  • Whether Vault and Redis integration require additional system setup or dependencies beyond the base package
  • Performance characteristics when managing large configuration files or deeply nested structures
  • Validation schema capabilities and whether they cover common use cases like type coercion and range constraints

Package facts

LicenseMIT permissive
Python supportSupports the current Python release <3.15,>=3.10
Install frictionLow. Pure-Python wheel
Runtime dependenciesNone
MaintenanceActively maintained 9 days since the last release
Last repo commit
First released
Downloads7,190,562 / month, #1,772 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableFramework :: DjangoFramework :: FlaskIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseNatural Language :: EnglishOperating System :: OS IndependentProgramming 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 :: Software Development :: LibrariesTopic :: Software Development :: Libraries :: Python ModulesTopic :: Utilities

Evidence: dynaconf-3.3.5-py3-none-any.whl

Tags

Capabilities
python configuration managementenvironment-based settingssecrets management pythondotenv alternativemulti-environment configsettings validation pythonvault integration config
Topics
configuration-managementsecrets-handlingenvironment-variables

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See also environ-config · PyStaticConfiguration · python-dotenv · typed-settings · pydantic-settings-azure-app-configuration · simple-settings · lib-layered-config · bestconfig · hvac · vyper-config