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FeatureManagement

A library for enabling/disabling features at runtime.

Worth itPyPI Software DevelopmentReleased Jul 2026260.7K downloads / mopermissive licensePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — featuremanagement-2.2.0-py3-none-any.whl
v2.2.0 · released 2026-07-16 · Python >=3.10

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

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.
Same gist for agents: .md · .json

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.

Worth 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

Licensepermissive license permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependenciesNone
MaintenanceActively maintained 29 days since the last release
Last repo commit
First released
Downloads260,747 / month, #8,392 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone 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

Tags

Capabilities
feature flags pythonruntime feature togglingfeature management libraryconditional feature activationfeature flag frameworkapplication feature controlfeature rollout management
Topics
feature-flagsconfiguration-management

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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