sample-helper-aws-appconfig
Sample helper library for AWS AppConfig
Decision gist · record as of 2026-08-14
Yes. The package solves a real problem (AppConfig API complexity) with low install friction, active maintenance, no vulnerabilities, and permissive licensing. It's most valuable if you're already using AWS AppConfig and want to avoid writing token-tracking and parsing logic yourself; less critical if you only need occasional config fetches or prefer direct boto3 calls.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires AWS credentials configured (via environment, IAM role, or boto3.Session) and an existing AWS AppConfig application, environment, and configuration profile.
- Low friction: pure Python wheel with four common runtime dependencies (PyYAML, boto3, botocore, urllib3).
- Actively maintained with recent commits and no known vulnerabilities.
License · maintenance · safety
OSI Approved (Apache-2.0) (permissive) — Licensed under Apache-2.0 (permissive), allowing use in commercial and open-source projects with minimal restrictions beyond attribution.
last release 2026-05-18 (88 days) · last repo commit 2026-05-18 · 32 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 95,800 downloads/mo, #13,248 on PyPI
Alternatives
Verify before relying
pip install sample-helper-aws-appconfig
from sample_helper_aws_appconfig import AppConfigHelper
appconfig = AppConfigHelper(
"MyAppConfigApp",
"MyAppConfigEnvironment",
"MyAppConfigProfile",
45
)
if appconfig.update_config():
print("New configuration received")
config_value = appconfig.config- Whether the 15-second minimum refresh interval is enforced at initialization or only during updates.
- Whether fetch_on_read and fetch_on_init are mutually exclusive or can both be enabled.
- Performance characteristics when polling frequently in high-concurrency environments.
What it is and what it does
sample-helper-aws-appconfig is a Python client library that simplifies fetching and managing configuration from AWS AppConfig. It wraps the AppConfig Data API, handling token tracking, poll intervals, and content-type parsing automatically so you don't have to manage those details yourself.
The library supports YAML, JSON, and plain-text configurations, with flexible refresh strategies: fetch on initialization, on every read (if stale), or on demand. You specify a minimum refresh interval in seconds, and the library enforces it to avoid excessive API calls. It works across AWS Lambda, EC2, and on-premises environments, and integrates with boto3 for credential and region management.
Use it for
- Fetch feature flags or environment-specific settings in Lambda functions without managing AppConfig API tokens manually.
- Periodically reload application configuration in a web service at a controlled interval without polling on every request.
- Store and retrieve YAML or JSON configuration profiles from AppConfig with automatic parsing and type conversion.
- Centralize configuration for multi-environment deployments using AppConfig profiles.
- Reduce boilerplate when integrating AppConfig into Python applications by handling API state and content negotiation.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package solves a real problem (AppConfig API complexity) with low install friction, active maintenance, no vulnerabilities, and permissive licensing. It's most valuable if you're already using AWS AppConfig and want to avoid writing token-tracking and parsing logic yourself; less critical if you only need occasional config fetches or prefer direct boto3 calls.
Install
sample-helper-aws-appconfig on PyPI
Before you install
Low friction: pure Python wheel with four common runtime dependencies (PyYAML, boto3, botocore, urllib3). Actively maintained with recent commits and no known vulnerabilities.
Requires AWS credentials configured (via environment, IAM role, or boto3.Session) and an existing AWS AppConfig application, environment, and configuration profile.
License in practice
Licensed under Apache-2.0 (permissive), allowing use in commercial and open-source projects with minimal restrictions beyond attribution.
Quickstart
pip install sample-helper-aws-appconfig
from sample_helper_aws_appconfig import AppConfigHelper
appconfig = AppConfigHelper(
"MyAppConfigApp",
"MyAppConfigEnvironment",
"MyAppConfigProfile",
45
)
if appconfig.update_config():
print("New configuration received")
config_value = appconfig.configVerify before relying
- Whether the 15-second minimum refresh interval is enforced at initialization or only during updates.
- Whether fetch_on_read and fetch_on_init are mutually exclusive or can both be enabled.
- Performance characteristics when polling frequently in high-concurrency environments.
Package facts
| License | OSI Approved (Apache-2.0) permissive |
| Python support | Supports the current Python release <4.0,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesPyYAMLboto3botocoreurllib3 |
| Maintenance | Actively maintained 88 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 95,800 / month, #13,248 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI ApprovedLicense :: Other/Proprietary LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Typing :: Typed |
Evidence: sample_helper_aws_appconfig-2.3.2-py3-none-any.whl
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See also azure-appconfiguration-provider · mypy-boto3-appconfig · environ-config · django-appconf · ec2-metadata · codeguru-profiler-agent · aws-sam-translator · aws-assume-role-lib · azure-appconfiguration · ida-settings