$npx skillfedfor your agent

behavex

Production-grade test orchestration for Python BDD.

Worth itPyPI TestingReleased May 2026171.5K downloads / moPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — behavex-4.6.5-py3-none-any.whl
v4.6.5 · released 2026-05-22 · Python >=3.8 · 8 runtime deps: behave, behavex-images, allure-python-commons, jinja2, configobj, minify-html, csscompressor, packaging

Yes. BehaveX is production-grade, actively maintained, has no known vulnerabilities, and is MIT-licensed. It extends Behave with genuinely useful operational features (parallel execution, enterprise reporting, auto-retry) that are not available in Behave alone. Low install friction and broad Python version support make it a straightforward upgrade for teams already using Behave who need scale and visibility.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Low friction: pure Python wheel with 8 runtime dependencies.
  • Actively maintained with a release 84 days ago and continuous commits.
  • Supports Python 3.8 through 3.13.

License · maintenance · safety

(unclear) — MIT license grants unrestricted use, modification, and distribution with minimal obligations—suitable for both open-source and commercial projects.

last release 2026-05-22 (84 days) · last repo commit 2026-05-24 · 123 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 171,472 downloads/mo, #10,365 on PyPI

Verify before relying

pip install behavex

behavex -t=@smoke --parallel-processes=4 --parallel-scheme=scenario
  • Whether the 121,000+ monthly downloads figure cited in the description matches the 171,472 downloads in the fact sheet (different time periods or sources may explain the discrepancy).
  • Performance characteristics and overhead of parallel execution relative to sequential Behave runs.
  • Compatibility details with specific versions of Behave >= 1.3.0 and whether older Behave versions are supported.
Same gist for agents: .md · .json

What it is and what it does

BehaveX is a test orchestration layer built on top of Behave, the Python BDD framework. It adds parallel execution (by feature or scenario across multiple processes), enterprise-grade HTML reporting with screenshots and logs, Allure integration, and operational features like auto-retry, test muting, and execution ordering. Your existing Behave feature files and step definitions work unchanged—it's designed as a zero-friction upgrade.

The package is actively maintained and widely used in production environments, including by the Apache Foundation, LambdaTest, and SovereignCloudStack. It depends on Behave itself plus reporting libraries (Allure, Jinja2), HTML/CSS compression utilities, and configuration parsing. Installation is straightforward and low-friction.

Use it for

  • Run a large BDD test suite in parallel across multiple processes to reduce total execution time.
  • Generate shareable HTML reports with embedded screenshots, logs, and pass/fail metrics for stakeholder review.
  • Integrate BDD tests with Allure reporting for enterprise test management and CI/CD dashboards.
  • Automatically retry failed scenarios using @AUTORETRY tags without re-running the entire suite.
  • Tag and order scenarios for dependency-aware execution using @ORDER_001 and Cucumber-style tag expressions.
  • Dry-run feature files to generate a spec report without executing any steps.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

BehaveX is production-grade, actively maintained, has no known vulnerabilities, and is MIT-licensed. It extends Behave with genuinely useful operational features (parallel execution, enterprise reporting, auto-retry) that are not available in Behave alone. Low install friction and broad Python version support make it a straightforward upgrade for teams already using Behave who need scale and visibility.

Install

behavex on PyPI

Before you install

Low friction: pure Python wheel with 8 runtime dependencies. Actively maintained with a release 84 days ago and continuous commits. Supports Python 3.8 through 3.13.

License in practice

MIT license grants unrestricted use, modification, and distribution with minimal obligations—suitable for both open-source and commercial projects.

Quickstart

pip install behavex

behavex -t=@smoke --parallel-processes=4 --parallel-scheme=scenario

Verify before relying

  • Whether the 121,000+ monthly downloads figure cited in the description matches the 171,472 downloads in the fact sheet (different time periods or sources may explain the discrepancy).
  • Performance characteristics and overhead of parallel execution relative to sequential Behave runs.
  • Compatibility details with specific versions of Behave >= 1.3.0 and whether older Behave versions are supported.

Package facts

LicenseNot declared unclear
Python supportSupports the current Python release >=3.8
Install frictionLow. Pure-Python wheel
Runtime dependencies
8 packages
behavebehavex-imagesallure-python-commonsjinja2configobjminify-htmlcsscompressorpackaging
MaintenanceActively maintained 84 days since the last release
Last repo commit
First released
Downloads171,472 / month, #10,365 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableEnvironment :: ConsoleIntended Audience :: DevelopersOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Testing

Evidence: behavex-4.6.5-py3-none-any.whl

Tags

Capabilities
parallel BDD test executionbehave test orchestrationpython gherkin test runnerBDD HTML reportingenterprise test automation frameworkscenario parallel executionbehave allure integration
Topics
bdd-testingparallel-executiontest-reporting

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “parallel BDD test execution”

  • behavexBehaveX extends Behave with parallel test execution, enterprise…
  • allure-behaveIntegrates Behave BDD test execution with Allure Report, generating…
  • allure-pytest-bddIntegrates Allure Report with Pytest-BDD to capture and visualize…

Give your agent the search over MCP, or paste the wish link into any chat.

More Testing packages

pluggy Worth it
PyPI · Libraries · released May 2025

Pluggy provides a plugin system that lets you define hook specifications and register implementations to be called in sequence, enabling extensible Python applications without tight coupling.

Install it if you're building an extensible application or framework.

MITpure Python · 3.9+aging
1.3Bdownloads / mo
pytest Worth it
PyPI · Libraries · released Jun 2026

pytest is a testing framework that lets you write test functions using plain assert statements and automatically discovers and runs them, with detailed failure reporting.

MITpure Python · 3.10+
1.1Bdownloads / mo
virtualenv Worth it
PyPI · Libraries · released Aug 2026

virtualenv creates isolated Python environments where packages can be installed independently without affecting the system Python or other projects.

MITpure Python · 3.9+
532.9Mdownloads / mo
coverage Worth it
PyPI · Testing · released Aug 2026

Coverage.py measures which lines of Python code are executed during test runs, reporting coverage percentages and identifying untested code paths.

Install it if you want to measure test completeness or enforce coverage thresholds in your project.

permissive licensepure Python · 3.10+
335.8Mdownloads / mo
pytest-asyncio Worth it
PyPI · Testing · released May 2026

pytest-asyncio is a pytest plugin that enables writing and running async test functions using the asyncio library, allowing developers to await code directly within test cases.

Install it if you write tests for any asyncio-based code.

Apache-2.0pure Python · 3.10+
275.9Mdownloads / mo
pytest-json-ctrf Worth it
PyPI · Testing · released Jul 2026

A pytest plugin that generates test reports in Common Test Report Format (CTRF) as JSON, compatible with pytest-xdist and pytest-playwright for distributed and browser-based testing.

Install it if you need CTRF-formatted test output for CI/CD integration or cross-tool reporting.

MITpure Python · 3.8+
273.0Mdownloads / mo

See also behave · behavex-images · allure-behave · behave-django · behave-reportportal · cucumber-tag-expressions · vedro · behave-html-formatter · allure-pytest-bdd · tox