A complete library to create dynamic model instances for testing purposes.
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Updated
Oct 10, 2024 - Python
A complete library to create dynamic model instances for testing purposes.
MIRROR - CLI collection of utilities for working with CrateDB or PostgreSQL. Benchmark queries, insert data.
To detect logic bugs in graph database engines by mutating graph query patterns. ICSE'24.
RLS Policy autotester
Property-based grammar fuzzer for SQL databases
Testing DemoNopCommerce using database testing
Python script to automate the database validation using sql query.
Data Validation Framework for Comparing Database Systems
Rage-quit your flaky DB regressions — modern, lightweight, multi-DB regression testing
Professional database testing framework - 72 automated tests covering data integrity, quality, and performance. SQLAlchemy + Pytest + Multi-DB support.
Populate all MySQL database tables in a single step.
A code challenge for API testing to hunt down race conditions.
Python & SQL Server integration with automated unit testing — data integrity validation using pyodbc and unittest
DataPilot QA is a cross database migration validation tool for Quality Engineering teams. It verifies schema consistency, row parity, aggregates, and missing records between source and target systems with optional AI powered analysis.
Database testing framework with PostgreSQL and pytest
Declarative PostgreSQL stand manager for reproducible local and containerized test environments across versions and topologies.
Reusable step libraries for Behave BDD — share, discover and install typed, multilingual step definitions for HTTP APIs, web browsers, databases and Kafka. Zero mandatory dependencies; each technology is an optional extra.
Database Testing Sources
SQL-driven test validation with property-based testing. Validates data integrity, account balances, and transaction status using pytest and SQLite.
Full-stack QA automation framework built with Python, Selenium, Pytest, API testing, MySQL, and Page Object Model (POM).
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