yggdrasil-engine
Engine for evaluating Unleash feature flags
Decision gist · record as of 2026-08-14
Yes, if you are using Unleash for feature management and need to evaluate flags from Python. The package is actively maintained, has no known vulnerabilities, carries a permissive MIT license, and supports current Python versions. Medium install friction is typical for compiled packages and poses no practical barrier on standard platforms.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later; prebuilt wheels available for common platforms (x86_64, ARM64 on macOS, Linux, Windows).
- Medium install friction due to compiled wheels across multiple platforms (macOS, Linux, Windows, ARM architectures).
- Active maintenance with a release within the last 51 days.
License · maintenance · safety
MIT (permissive) — MIT license permits use in commercial and proprietary projects with minimal restrictions; attribution required.
last release 2026-06-24 (51 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,119,651 downloads/mo, #3,279 on PyPI
Alternatives
Verify before relying
pip install yggdrasil-engine
import yggdrasil_engine
# Use the engine to evaluate feature flags- Whether the package requires initialization with Unleash configuration or context before evaluating flags
- Performance characteristics and typical evaluation latency for feature flag decisions
- Whether offline/local flag evaluation is supported or if it requires network connectivity
What it is and what it does
yggdrasil-engine is a Python wrapper around the Unleash Yggdrasil native engine, which evaluates feature flags and toggles. It bridges Python code to a high-performance Rust-based evaluation engine, allowing applications to make feature flag decisions at runtime.
The package is built as compiled wheels for multiple platforms and Python versions (3.8 through 3.12), with no external Python dependencies. It's designed for teams using Unleash as their feature management platform and need to evaluate flags from Python applications. The underlying native library version is managed separately during the build process.
Use it for
- Evaluate feature flags in Python web applications to control feature rollouts and A/B tests
- Gate new functionality behind flags in backend services to enable safe deployment and gradual rollout
- Implement feature experiments where different user cohorts see different behavior based on flag state
- Integrate feature flag evaluation into Python microservices that use Unleash for centralized flag management
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are using Unleash for feature management and need to evaluate flags from Python.
The package is actively maintained, has no known vulnerabilities, carries a permissive MIT license, and supports current Python versions. Medium install friction is typical for compiled packages and poses no practical barrier on standard platforms.
Install
yggdrasil-engine on PyPI
Before you install
Medium install friction due to compiled wheels across multiple platforms (macOS, Linux, Windows, ARM architectures). Active maintenance with a release within the last 51 days. No runtime dependencies to manage.
Requires Python 3.8 or later; prebuilt wheels available for common platforms (x86_64, ARM64 on macOS, Linux, Windows).
License in practice
MIT license permits use in commercial and proprietary projects with minimal restrictions; attribution required.
Quickstart
pip install yggdrasil-engine
import yggdrasil_engine
# Use the engine to evaluate feature flagsVerify before relying
- Whether the package requires initialization with Unleash configuration or context before evaluating flags
- Performance characteristics and typical evaluation latency for feature flag decisions
- Whether offline/local flag evaluation is supported or if it requires network connectivity
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.8 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 51 days since the last release |
| First released | |
| Downloads | 2,119,651 / month, #3,279 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: yggdrasil_engine-1.3.1-cp310-abi3-macosx_11_0_arm64.whl; yggdrasil_engine-1.3.1-cp310-abi3-macosx_11_0_x86_64.whl; yggdrasil_engine-1.3.1-cp310-abi3-manylinux2014_aarch64.whl; yggdrasil_engine-1.3.1-cp310-abi3-manylinux2014_x86_64.whl; yggdrasil_engine-1.3.1-cp310-abi3-musllinux_1_2_aarch64.whl; yggdrasil_engine-1.3.1-cp310-abi3-musllinux_1_2_x86_64.whl; yggdrasil_engine-1.3.1-cp310-abi3-win_amd64.whl; yggdrasil_engine-1.3.1-cp310-abi3-win_arm64.whl; yggdrasil_engine-1.3.1-cp311-abi3-macosx_11_0_arm64.whl; yggdrasil_engine-1.3.1-cp311-abi3-macosx_11_0_x86_64.whl; yggdrasil_engine-1.3.1-cp311-abi3-manylinux2014_aarch64.whl; yggdrasil_engine-1.3.1-cp311-abi3-manylinux2014_x86_64.whl; yggdrasil_engine-1.3.1-cp311-abi3-musllinux_1_2_aarch64.whl; yggdrasil_engine-1.3.1-cp311-abi3-musllinux_1_2_x86_64.whl; yggdrasil_engine-1.3.1-cp311-abi3-win_amd64.whl; yggdrasil_engine-1.3.1-cp311-abi3-win_arm64.whl; yggdrasil_engine-1.3.1-cp312-abi3-macosx_11_0_arm64.whl; yggdrasil_engine-1.3.1-cp312-abi3-macosx_11_0_x86_64.whl; yggdrasil_engine-1.3.1-cp312-abi3-manylinux2014_aarch64.whl; yggdrasil_engine-1.3.1-cp312-abi3-manylinux2014_x86_64.whl
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