---
id: optimizely-sdk
version: "5.6.0"
license: unclear
license_treatment: permissive
maintenance: active
---

# optimizely-sdk — Python SDK for Optimizely Feature Experimentation, Optimizely Full Stack (legacy), and Optimizely Rollouts.

License: permissive · Maintenance: active · Downloads: 650.5K/mo

## What it is and what it does

Optimizely SDK is a client library for integrating A/B testing and feature management into Python applications. It connects to the Optimizely platform to run experiments, manage feature flags, and control feature rollouts without requiring code redeployment. The SDK can be initialized in multiple ways: with a static datafile, by providing an SDK key for automatic polling updates, or by supplying a custom configuration manager.

The package handles experiment logic, audience targeting, and feature flag evaluation on the client side. It depends on requests for HTTP communication, jsonschema for configuration validation, and supporting libraries like pyrsistent and rpds-py for data structures. It's designed for production use across multiple Python versions and is actively maintained.

Use it for:

- Run A/B tests on new features to measure user engagement and conversion impact before full rollout.
- Manage feature flags to enable or disable features in production without code deployment or restart.
- Gradually roll out new features to a percentage of users to mitigate risk and gather feedback.
- Segment users by audience rules and run targeted experiments on specific user cohorts.
- Integrate experimentation into CI/CD pipelines to validate feature performance automatically.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides A/B testing, feature flagging, and feature management capabilities for Python applications, allowing you to run experiments and control feature rollouts without code deployment.

Yes. The package is production-stable, actively maintained, has low install friction, carries no known vulnerabilities, and uses a permissive Apache license. Install it if you need A/B testing or feature flag management in a Python application and are already using or planning to use the Optimizely platform.

## Install

pip install optimizely-sdk
uv add optimizely-sdk
poetry add optimizely-sdk

## Installing optimizely-sdk

Before you install: Low install friction with a pure-wheel distribution and five well-established runtime dependencies (jsonschema, pyrsistent, requests, idna, rpds-py). Actively maintained with a release 35 days old and recent commits.

License in practice: Licensed under Apache Software License (permissive), meaning you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.

Quickstart:

pip install optimizely-sdk

import optimizely

# Initialize with an SDK key
client = optimizely.Optimizely(sdk_key='your_sdk_key')

# Or initialize with a datafile
client = optimizely.Optimizely(datafile=datafile_content)

Verify before relying:

- Whether the package supports Python 3.8+ as stated in the description, given the classifiers list Python 3.8 through 3.12 but requires_python is unspecified.
- Whether the polling config manager's default update_interval of '5 minutes' is configurable and what the actual default value is in code.

## Package facts

- License: not declared (permissive)
- Python support: unspecified
- Install friction: low
- Maintenance: active
- Downloads: 650.5K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

A/B testing framework, feature flags python, feature management SDK, experiment framework, feature rollout control, feature-flags, a-b-testing, experimentation

[View on SkillFed](https://skillfed.io/packages/optimizely-sdk) · [View on PyPI](https://pypi.org/project/optimizely-sdk/)