.NET object dumper that generates readable C# or Visual Basic object initializers from runtime objects.
Test your SQL like code: LLM-generated test data, local DuckDB execution, argued verdicts. A unit-testing layer for data engineers.
Turn any SQL schema into realistic test data — instantly
A lightweight desktop DICOM editor/viewer/creator built with PySide6.
Expand string patterns into all possible combinations.
CLI to generate relational synthetic data with realistic chaos – nulls, duplicates, drift, and messy formatting.
Agentic QA test-data generation and validation framework for synthetic financial data. Architecture: Request Normalization -> Test Plan -> Generation -> Independent Validation -> Failure Classification -> Bounded Repair -> Audit. Run: Execute instructions.md & skills.md against validation_rules.md & guardrails.md for best results.
Agent skills, curated examples, and community models for SpiceGrinder
Public repository for SpiceGrinder Free
Persistent GenAI QA Architect solution demonstrating agentic AI test data generation, healthcare payer QA, EDI validation, PHI masking, Flask APIs, pytest automation, and GitHub Actions CI/CD quality gates.
Reusable, shrink-friendly Hypothesis strategies for dates, money, geo, JSON, text and networking.
Ragas — independent third-party profile of a public API surface, by API Evangelist. Ragas is an open-source evaluation toolkit for Large Language Model applications, with particular depth on Retrieval Augmented Generation (RAG) and agentic systems. Originally created under the Exploding Gradients organization on GitHub and now maintained by Vibrant
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