{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks/5"}],"enrichment":{"capability":"Integrates Unleash feature flags with OpenFeature SDK, enabling standardized flag evaluation and context-aware feature toggling in Python applications.","skillfed_tags":["feature-flags","openfeature","unleash"],"use_cases":["Standardize feature flag evaluation across a Python codebase by using OpenFeature's unified API instead of direct Unleash client calls.","Migrate from another feature flag provider to Unleash without rewriting application flag evaluation logic\u2014swap the provider implementation.","Monitor flag state changes and provider errors in real time using OpenFeature event handlers for operational visibility.","Implement context-aware targeting by mapping user IDs and session attributes from your application context to Unleash evaluation rules.","Evaluate variant flags (string, integer, float, object payloads) to power A/B tests, canary deployments, or dynamic configuration."],"what_it_does":"This package bridges Unleash feature flag management and the OpenFeature SDK, a vendor-neutral abstraction layer for feature flags in Python. It wraps the UnleashClient and exposes flag evaluation through OpenFeature's standardized API, allowing you to evaluate boolean, string, integer, float, and object flags with context-aware targeting. The provider maps OpenFeature's EvaluationContext (targeting_key and attributes) to Unleash's context model and emits events when the provider is ready, encounters errors, or flag configurations change. You configure it with an Unleash server URL, application name, and API token, then set it as the active provider in the OpenFeature SDK.\n\nTypical use is in applications that want to decouple feature flag logic from a specific vendor\u2014you write flag evaluation code against OpenFeature's API, and this provider handles the Unleash-specific protocol and state management. It supports event handlers for monitoring provider lifecycle and flag changes, and provides a shutdown method for clean teardown. The package is actively maintained, has no known vulnerabilities, and carries a permissive Apache-2.0 license.","worth_installing":"Yes. The package is actively maintained, has zero known vulnerabilities, low install friction, and a permissive license. Install it if you are already using OpenFeature SDK and want Unleash as your flag provider, or if you want to standardize flag evaluation across multiple vendors. Not necessary if you are using Unleash directly without OpenFeature abstraction."},"id":"openfeature-provider-unleash","links":{"html":"https://skillfed.io/packages/openfeature-provider-unleash","md":"https://skillfed.io/packages/openfeature-provider-unleash.md","pypi":"https://pypi.org/project/openfeature-provider-unleash/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-03-16","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"openfeature-provider-unleash","python_support":"supports_current","summary":"OpenFeature provider for Unleash"},"popularity":{"monthly_downloads":105612,"position":12689,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.2"}