envyaml
Simple YAML configuration file parser with easy access for structured data
Decision gist · record as of 2026-08-14
Yes, if you need environment-aware YAML configuration with dot-notation access and don't mind dormant maintenance. The package is stable and has no known vulnerabilities, but expect no active development—bug fixes or new features will not arrive. It's a good fit for small to medium projects with straightforward config needs; larger systems may prefer more actively maintained alternatives.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction; depends only on PyYAML.
- Maintenance is dormant—last release was 2022-01-08 and no commits since 2024-07-05, so expect no active bug fixes or feature updates.
License · maintenance · safety
MIT (permissive) — MIT licensed (permissive), so you can use, modify, and distribute freely with minimal restrictions.
last release 2022-01-08 (1679 days) · last repo commit 2024-07-05 · 78 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,471,667 downloads/mo, #3,868 on PyPI
Alternatives
Verify before relying
pip install envyaml
from envyaml import EnvYAML
env = EnvYAML('env.yaml')
print(env['database.host'])
print(env.get('redis.port', 5040))- Whether strict mode (enabled by default) behavior matches your use case for undefined environment variables
- Python 2.7 support claim (listed in classifiers but package is dormant since 2022)
What it is and what it does
EnvYAML is a lightweight YAML configuration parser that substitutes environment variables into your config files at parse time. It reads a YAML file, replaces placeholders like `$VAR_NAME` with values from your environment, and gives you dot-notation access to nested keys—so `env['database.host']` retrieves a deeply nested value without manual traversal. It also supports default values (e.g., `$VAR|default`) and escaping (e.g., `$$` for a literal `$`).
The package is built on top of PyYAML and adds a thin configuration layer. It's useful when you want to keep secrets and deployment-specific values out of version control but still maintain readable, structured config files. Strict mode (on by default) will raise an error if you reference an undefined environment variable, though you can disable it to allow missing vars to become None.
Use it for
- Load database credentials from environment variables into a YAML config file without hardcoding secrets
- Build multi-environment configs (dev, staging, prod) by varying environment variables at deploy time
- Access nested configuration sections with dot notation instead of nested dict lookups
- Provide fallback defaults for optional environment variables using the pipe syntax
- Parse complex YAML structures (lists, nested objects) while injecting runtime values
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need environment-aware YAML configuration with dot-notation access and don't mind dormant maintenance.
The package is stable and has no known vulnerabilities, but expect no active development—bug fixes or new features will not arrive. It's a good fit for small to medium projects with straightforward config needs; larger systems may prefer more actively maintained alternatives.
Install
envyaml on PyPI
Before you install
Low install friction; depends only on PyYAML. Maintenance is dormant—last release was 2022-01-08 and no commits since 2024-07-05, so expect no active bug fixes or feature updates.
License in practice
MIT licensed (permissive), so you can use, modify, and distribute freely with minimal restrictions.
Quickstart
pip install envyaml
from envyaml import EnvYAML
env = EnvYAML('env.yaml')
print(env['database.host'])
print(env.get('redis.port', 5040))
Verify before relying
- Whether strict mode (enabled by default) behavior matches your use case for undefined environment variables
- Python 2.7 support claim (listed in classifiers but package is dormant since 2022)
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=2.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagePyYAML |
| Maintenance | Dormant 1,679 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,471,667 / month, #3,868 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 2.7Programming Language :: Python :: 3.10Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Libraries :: Python ModulesTopic :: Utilities |
Evidence: envyaml-1.10.211231-py2.py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “nested config access”
- envyamlParses YAML configuration files with environment variable…
- python-json-configLoads JSON configuration files and provides dot-notation access to…
- sconfsconf is a YAML-based configuration library that merges multiple…
Give your agent the search over MCP, or paste the wish link into any chat.
More Python Modules packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.
Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…
Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.
See also dynamic-yaml · envsubst · yamale · pyaml-env · pyyml · docker-compose · pyyaml-env-tag · bestconfig · yamlcore · mo-dots