Synthetic data generation

Full synthetic data pipeline — generate, render, and validate evaluation datasets end to end.

CLI tool for Synode synthetic data generation

OmegaSynth - Label-Conditioned Synthetic Data Generator for AsterMind ELM/KELM Pipelines

Core engine for synthetic data generation

SPHERE CLI — synthetic data generation, evaluation, and certification (sealed native binary)

CLI for seedfaker — deterministic synthetic data generator

Schema-aware synthetic data generator. Point it at your Postgres, MySQL, or SQLite schema, get coherent, referentially-correct fake data.

TypeScript building blocks for evaluating RAG retrieval pipelines and CX agents: chunkers, embedders, retrievers, span-based metrics, synthetic data generation, transcript analysis, and LangSmith integration.

Raw data for testing with realistic but synthetic data

Deterministic synthetic data generator — 200+ fields, 68 locales, native Rust binding

Deterministic synthetic data generator for browsers — WASM build of seedfaker

High-performance synthetic data generator for AI/ML training, RAG systems, and agentic workflows with DSPy.ts, Gemini, OpenRouter, and vector databases

A fast, lightweight Gen AI powered synthetic data generator written in TypeScript. 🌞

Synthetic data universe DSL and generation engine

CLI for Mimic — generate, seed, serve, and test synthetic data for AI agents

Deterministic finance operations AI workflow example with human review, fixed rules, and synthetic data only.

Production-ready examples for @ruvector/agentic-synth - DSPy training, multi-model benchmarking, and advanced synthetic data generation patterns

OmegaSynth - Label-Conditioned Synthetic Data Generator for AsterMind ELM/KELM Pipelines

Unified integration layer combining ultra-fast symbolic AI reasoning with intelligent synthetic data generation for context-aware applications