validations-engine
Engine for creating and running validation suites for general purposes
Decision gist · record as of 2026-08-14
Yes, with conditions. The package is actively maintained and has low install friction. However, the license treatment is unclear, so verify the actual license before use in proprietary contexts. Install if you need a validation framework for data pipelines or integration testing and can confirm the license meets your requirements.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.7, <4.
- The package depends on requests, which must be available at runtime.
- Low install friction with a single runtime dependency (requests).
License · maintenance · safety
(unclear) — License treatment is unclear—the fact sheet does not specify whether Apache License 2.0 or another license applies, so you should verify the actual license before use in proprietary or restricted contexts.
last release 2023-11-16 (1002 days) · last repo commit 2026-02-18 · 2 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 243,272 downloads/mo, #8,814 on PyPI
Alternatives
Verify before relying
pip install validations-engine
from validations_engine import BaseValidationSuitesExecutor
class MyValidationSuite(BaseValidationSuitesExecutor):
def validation_example(self):
assert some_condition, "Validation failed"
suite = MyValidationSuite()
suite.run()- Whether the unclear license treatment reflects Apache 2.0 or a different license—verify before production use.
- Whether the gap since last release indicates the package is maintained or dormant despite recent commits.
What it is and what it does
Validations Engine is a framework for organizing and running validation suites—collections of test-like methods that check whether data pipelines, databases, APIs, and other systems are functioning correctly. It was originally built to catch failures early in data engineering pipelines but can be used for general validation purposes.
The engine works by defining Executors (which contain shared validation logic) and ValidationSuites (which inherit from an executor and define validation_* methods that run automatically). You write validation methods following a naming convention, and the engine discovers and executes them. It's structured like a unit-testing framework but designed for integration and data-quality checks rather than code unit tests.
Use it for
- Validate data pipeline outputs before downstream processing to catch quality issues early.
- Test API endpoints and database connections as part of an automated integration test suite.
- Create reusable validation logic by defining custom executors that multiple suites can inherit from.
- Monitor data systems for failures by running validation suites on a schedule.
- Build domain-specific validators that share common patterns across suites.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, with conditions.
The package is actively maintained and has low install friction. However, the license treatment is unclear, so verify the actual license before use in proprietary contexts. Install if you need a validation framework for data pipelines or integration testing and can confirm the license meets your requirements.
Install
validations-engine on PyPI
Before you install
Low install friction with a single runtime dependency (requests). The package is actively maintained with a recent commit as of 2026-02-18.
Requires Python >=3.7, <4. The package depends on requests, which must be available at runtime.
License in practice
License treatment is unclear—the fact sheet does not specify whether Apache License 2.0 or another license applies, so you should verify the actual license before use in proprietary or restricted contexts.
Quickstart
pip install validations-engine
from validations_engine import BaseValidationSuitesExecutor
class MyValidationSuite(BaseValidationSuitesExecutor):
def validation_example(self):
assert some_condition, "Validation failed"
suite = MyValidationSuite()
suite.run()Verify before relying
- Whether the unclear license treatment reflects Apache 2.0 or a different license—verify before production use.
- Whether the gap since last release indicates the package is maintained or dormant despite recent commits.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.7, <4 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagerequests |
| Maintenance | Actively maintained 1,002 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 243,272 / month, #8,814 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Natural Language :: EnglishProgramming Language :: Python :: 3Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8 |
Evidence: validations_engine-2.0.0-py2.py3-none-any.whl
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