UnleashClient
Python client for the Unleash feature toggle system!
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has low install friction, carries no known vulnerabilities, and uses a permissive MIT license. It's well-suited for any Python application that needs feature flag management. The main consideration is ensuring your Unleash server is configured and accessible before initializing the client, as feature flags default to false until synchronized.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- The SDK must be initialized and synchronized with the Unleash API before feature flags will evaluate correctly; until then, all features default to false unless you provide a fallback function or bootstrap configuration.
- Low install friction with a pure Python wheel distribution.
- The package is actively maintained with a recent release (24 days old) and supports modern Python versions (3.8–3.13).
License · maintenance · safety
permissive license (permissive) — Licensed under MIT (permissive), so you can use, modify, and distribute this package with minimal legal constraints.
last release 2026-07-21 (24 days) · last repo commit 2026-08-14 · 92 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,517,340 downloads/mo, #3,028 on PyPI
Alternatives
Verify before relying
pip install UnleashClient
from UnleashClient import UnleashClient
client = UnleashClient(
url="https://your-unleash-url",
app_name="my-app",
custom_headers={'Authorization': 'your-token'})
client.initialize_client()
enabled = client.is_enabled("my_toggle")
variant = client.get_variant("variant_toggle")
client.destroy()- Whether custom strategies and the features property migration path in v6 affects typical use cases or only advanced deployments.
- Performance characteristics when evaluating large numbers of feature flags or handling high-frequency context changes.
What it is and what it does
UnleashClient is a Python SDK that connects your application to Unleash, a feature management platform designed to control feature rollouts and reduce release risk. It lets you evaluate feature flags and variants at runtime, with support for gradual rollouts, user segmentation via context, and custom activation strategies. The SDK runs on the server side and handles synchronization with the Unleash API, caching, metrics reporting, and scheduled background updates.
The package integrates with APScheduler for background synchronization and uses requests for HTTP communication. It supports fallback functions for graceful degradation when flags are unavailable, context-based evaluation (userId, sessionId, custom properties), and both on-disk and custom cache implementations. The SDK is production-ready (Development Status 5), actively maintained, and supports Python 3.8 through 3.13.
Use it for
- Gradually roll out new features to a subset of users to validate before full release.
- Toggle experimental features on or off without redeploying your application.
- Run A/B tests by evaluating different feature variants based on user context.
- Implement feature flags for canary deployments or blue-green release strategies.
- Disable problematic features in production without a code change or restart.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has low install friction, carries no known vulnerabilities, and uses a permissive MIT license. It's well-suited for any Python application that needs feature flag management. The main consideration is ensuring your Unleash server is configured and accessible before initializing the client, as feature flags default to false until synchronized.
Install
unleashclient on PyPI
Before you install
Low install friction with a pure Python wheel distribution. The package is actively maintained with a recent release (24 days old) and supports modern Python versions (3.8–3.13). Nine runtime dependencies are manageable and well-established.
The SDK must be initialized and synchronized with the Unleash API before feature flags will evaluate correctly; until then, all features default to false unless you provide a fallback function or bootstrap configuration.
License in practice
Licensed under MIT (permissive), so you can use, modify, and distribute this package with minimal legal constraints.
Quickstart
pip install UnleashClient
from UnleashClient import UnleashClient
client = UnleashClient(
url="https://your-unleash-url",
app_name="my-app",
custom_headers={'Authorization': 'your-token'})
client.initialize_client()
enabled = client.is_enabled("my_toggle")
variant = client.get_variant("variant_toggle")
client.destroy()Verify before relying
- Whether custom strategies and the features property migration path in v6 affects typical use cases or only advanced deployments.
- Performance characteristics when evaluating large numbers of feature flags or handling high-frequency context changes.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 9 packagesrequestsfcachemmh3apschedulerimportlib_metadatapython-dateutilsemveryggdrasil-enginelaunchdarkly-eventsource |
| Maintenance | Actively maintained 24 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 2,517,340 / month, #3,028 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/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Typing :: Typed |
Evidence: unleashclient-6.8.0-py3-none-any.whl
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See also harness-featureflags · openfeature-provider-unleash · yggdrasil-engine · flagsmith · launchdarkly-server-sdk · configcat-client · django-flags · amplitude-experiment · statsig · django-waffle