vedro
Pragmatic Testing Framework
Decision gist · record as of 2026-08-14
Yes, if you prioritize readable, scenario-style test code and want a lightweight framework with active maintenance. The low install friction, permissive license, and pluggable architecture make it a solid choice for projects where test clarity matters. No strong reason to install if you're already satisfied with an existing framework.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later (supports 3.9 through 3.13)
- Low install friction with a pure-Python wheel distribution.
- The project is actively maintained with a recent commit on 2026-07-24 and has been in development since 2020-07-25, indicating a stable codebase.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in commercial and private projects with minimal restrictions beyond attribution and liability disclaimers.
last release 2025-10-04 (314 days) · last repo commit 2026-07-24 · 45 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 85,201 downloads/mo, #13,944 on PyPI
Alternatives
Verify before relying
pip install vedro
from vedro import Scenario
class MyTest(Scenario):
pass- Whether the pluggable core and customization capabilities are sufficient for complex testing workflows beyond standard scenarios
- Performance characteristics compared to other testing frameworks when running large test suites
What it is and what it does
Vedro is a testing framework designed to make test code readable and maintainable through a scenario-style syntax. It targets developers who want clear, expressive test definitions without sacrificing flexibility. The framework depends on cabina, filelock, niltype, pyparsing, and rich to provide its core functionality, including file locking, parsing, and terminal output formatting.
The framework is built around the idea that tests should read like specifications. It supports modern Python versions and has been actively developed since 2020-07-25. With a permissive Apache-2.0 license and low installation friction, it's positioned as a pragmatic alternative for teams prioritizing test readability and customization.
Use it for
- Writing acceptance tests in a scenario format that reads like business requirements
- Building test suites where readability and maintainability are priorities over feature density
- Extending test behavior through plugins and customization without forking the framework
- Teams seeking a lighter, more expressive testing syntax for Python projects
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you prioritize readable, scenario-style test code and want a lightweight framework with active maintenance.
The low install friction, permissive license, and pluggable architecture make it a solid choice for projects where test clarity matters. No strong reason to install if you're already satisfied with an existing framework.
Install
vedro on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. The project is actively maintained with a recent commit on 2026-07-24 and has been in development since 2020-07-25, indicating a stable codebase.
Requires Python 3.8 or later (supports 3.9 through 3.13)
License in practice
Licensed under Apache-2.0 (permissive), allowing use in commercial and private projects with minimal restrictions beyond attribution and liability disclaimers.
Quickstart
pip install vedro
from vedro import Scenario
class MyTest(Scenario):
pass
Verify before relying
- Whether the pluggable core and customization capabilities are sufficient for complex testing workflows beyond standard scenarios
- Performance characteristics compared to other testing frameworks when running large test suites
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagescabinafilelockniltypepyparsingrich |
| Maintenance | Actively maintained 314 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 85,201 / month, #13,944 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9Topic :: Software DevelopmentTyping :: Typed |
Evidence: vedro-1.15.1-py3-none-any.whl
Tags
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 › “scenario-based testing”
- vedroVedro is a scenario-style testing framework for Python that…
- testscenariostestscenarios extends Python's unittest to run a single test method…
- langwatch-scenarioLangwatch-scenario is an agent testing framework that simulates…
Give your agent the search over MCP, or paste the wish link into any chat.
More Software Development packages
Provides backported and experimental type hints for Python 3.9+, allowing use of newer typing features on older Python versions and enabling early experimentation with type system PEPs before they enter the standard library.
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Distlib provides low-level packaging utilities for building, distributing, and managing Python software—including metadata handling, version specifiers, wheel support, script installation, and dependency resolution.
See also pytest-bdd · radish-bdd · behave-django · behave · behavex · terraform-compliance · cucumber-expressions · testscenarios · cucumber-tag-expressions · TestSlide