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.
Automatically generates a pgTAP test suite and the seed data that proves your Postgres/Supabase RLS policies actually hold. No manual test-writing. CI gate included.
Deterministic synthetic data for Postgres/Supabase - paste your schema, get thousands of realistic, perfectly-linked rows. Correct on the first run, byte-identical on every run.
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
A code challenge for API testing to hunt down race conditions.
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.
Reproducible synthetic test data for CSV and database workflows.
Standalone black-box validation harness for DBWarden releases, database backends, plugins, migrations, and schema convergence
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 QA project with SQL validations, evidence-based documentation, regression testing, and automated pytest SQL checks in GitHub Actions.
Full-stack QA automation framework built with Python, Selenium, Pytest, API testing, MySQL, and Page Object Model (POM).
SQL-driven test validation with property-based testing. Validates data integrity, account balances, and transaction status using pytest and SQLite.
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