optimizely-sdk
Python SDK for Optimizely Feature Experimentation, Optimizely Full Stack (legacy), and Optimizely Rollouts.
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
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 · maintenance · safety
permissive license (permissive) — Licensed under Apache Software License (permissive), meaning you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
last release 2026-07-10 (35 days) · last repo commit 2026-08-05 · 31 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 650,523 downloads/mo, #5,560 on PyPI
Alternatives
Verify before relying
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)- 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.
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 on this page. Verify before relying on it.
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
optimizely-sdk on PyPI
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 | permissive license permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesjsonschemapyrsistentrequestsidnarpds-py |
| Maintenance | Actively maintained 35 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 650,523 / month, #5,560 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/StableEnvironment :: Web EnvironmentIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: optimizely_sdk-5.6.0-py3-none-any.whl
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