FeatureManagement
A library for enabling/disabling features at runtime.
Decision gist · record as of 2026-08-14
Yes. The package is production-stable, actively maintained, has zero dependencies, and addresses a common operational need. Install it if you need runtime feature control; the low friction and clean API make it a straightforward addition to any Python application.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low friction installation with no runtime dependencies.
- Active maintenance, last release 29 days ago, and supports current Python versions (3.10–3.14).
License · maintenance · safety
permissive license (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal legal constraints—suitable for commercial and open-source projects alike.
last release 2026-07-16 (29 days) · last repo commit 2026-07-16 · 25 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 260,747 downloads/mo, #8,392 on PyPI
Alternatives
Verify before relying
pip install featuremanagement
from featuremanagement import FeatureManager
manager = FeatureManager()
if manager.is_enabled('feature_name'):
# execute feature-gated code- Whether the library provides built-in integrations with Azure App Configuration or requires separate setup.
- Whether feature variants (mentioned in examples) are fully documented or require external configuration.
- Performance characteristics when managing large numbers of feature flags.
What it is and what it does
Featuremanagement is a Microsoft-maintained Python library for managing application features at runtime through feature flags. It provides a way to define which features are enabled or disabled, and under what conditions, without requiring code redeployment. The library integrates with common Python patterns and can work with configuration sources like Azure App Configuration, making it useful for gradual rollouts, A/B testing, and feature experimentation.
The package has no external runtime dependencies, installs easily, and supports modern Python versions (3.10 through 3.14). It is actively maintained, with a recent release and a stable API surface. The library is designed to be straightforward to integrate into existing applications, with examples provided for plain Python, Django, and Flask applications.
Use it for
- Gate new features behind flags to roll them out gradually to users without redeploying code.
- Run A/B tests by conditionally enabling features for different user segments or cohorts.
- Disable problematic features in production quickly by toggling a flag rather than releasing a hotfix.
- Manage feature variants to test different implementations of the same feature simultaneously.
- Integrate with Azure App Configuration to centralize feature flag management across services.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is production-stable, actively maintained, has zero dependencies, and addresses a common operational need. Install it if you need runtime feature control; the low friction and clean API make it a straightforward addition to any Python application.
Install
featuremanagement on PyPI
Before you install
Low friction installation with no runtime dependencies. Active maintenance, last release 29 days ago, and supports current Python versions (3.10–3.14).
Requires Python 3.10 or later.
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal legal constraints—suitable for commercial and open-source projects alike.
Quickstart
pip install featuremanagement
from featuremanagement import FeatureManager
manager = FeatureManager()
if manager.is_enabled('feature_name'):
# execute feature-gated code
Verify before relying
- Whether the library provides built-in integrations with Azure App Configuration or requires separate setup.
- Whether feature variants (mentioned in examples) are fully documented or require external configuration.
- Performance characteristics when managing large numbers of feature flags.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 29 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 260,747 / month, #8,392 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/StableLicense :: OSI Approved :: MIT LicenseProgramming 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 :: 3.14 |
Evidence: featuremanagement-2.2.0-py3-none-any.whl
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See also django-waffle · django-flags · azure-mgmt-core · poml · azure-appconfiguration-provider · statsig · flagsmith · UnleashClient · azure-servicemanagement-legacy · azure-mgmt-resource-deployments