--- id: everett version: "3.5.0" license: MPLv2 license_treatment: copyleft maintenance: abandoned --- # everett — Configuration library for Python applications License: copyleft · Maintenance: abandoned · Downloads: 706.9K/mo ## What it is and what it does Everett is a configuration library designed to centralize how Python applications read and validate settings from multiple sources—environment variables, .env files, INI, YAML, and custom sources. It handles type conversion (bool, int, lists, classes), provides clear error messages when configuration is invalid, and includes a Sphinx extension for auto-generating configuration documentation. The library is built around the 12-Factor app pattern and supports component-based architectures with namespaced configuration keys. The package is now deprecated and its repository is archived as of October 2025. While it remains functional for existing projects, no new features or maintenance will be provided. It is suitable for applications already using it or for new projects that do not require ongoing vendor support, but teams starting fresh should evaluate actively maintained alternatives. Use it for: - Building 12-factor web applications that read configuration from environment variables and .env files during development and deployment. - Testing application behavior under different configuration scenarios using config_override context manager to inject test values. - Generating configuration documentation automatically for end users via Sphinx directives without manual duplication. - Managing multi-component applications where different modules need namespaced configuration keys and isolated settings. - Parsing and validating typed configuration values (booleans, integers, lists) with helpful error messages when users provide invalid input. ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Everett is a configuration library that reads settings from environment variables, .env files, INI, YAML, and other sources, with support for type parsing, validation, and automated documentation. No—not for new projects. Everett is deprecated and archived as of 2025-10-15, with no further maintenance planned. While it is stable and has no known vulnerabilities, the lack of ongoing support means compatibility issues with future Python versions will not be addressed. Existing projects using it can continue, but new development should choose an actively maintained alternative. ## Install pip install everett uv add everett poetry add everett ## Installing everett Before you install: Installation is straightforward with no runtime dependencies for basic use. However, the project is marked deprecated as of 2025-10-15 and the repository is archived, meaning no further maintenance or updates will occur. License in practice: Everett is licensed under MPL v2, a copyleft license requiring derivative works to disclose source code changes under the same license. This is permissive for use but imposes obligations if you modify and distribute the library. Quickstart: pip install everett from everett.manager import ConfigManager config = ConfigManager.basic_config() host = config("host", default="localhost") port = config("port", default="8000", parser=int) Requires Python 3.10 or later. Optional dependencies (configparser for INI, pyyaml for YAML) needed only if using those formats. Verify before relying: - Whether the abandoned status and archived repository will affect long-term compatibility with future Python releases beyond 3.14. - Whether existing users have migrated to alternative maintained configuration libraries and what the migration path looks like. ## Package facts - License: MPLv2 (copyleft) - Python support: supports_current - Install friction: low - Maintenance: abandoned - Downloads: 706.9K/month (top 15,000 on PyPI) - Known vulnerabilities: none known ## Tags configuration management python, environment variable parsing, config from env files, yaml ini config loader, 12-factor app configuration, config override testing, application settings management, configuration-management, deprecated, 12factor [View on SkillFed](https://skillfed.io/packages/everett) · [View on PyPI](https://pypi.org/project/everett/)