#synthetic-data

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

Conditional GAN for generating synthetic tabular data.

Open-source tabular foundation model for fast, training-free regression with predictive distributions.

Open-source API mock server for REST, gRPC, GraphQL, WebSocket, Kafka, MQTT and more

Python client for DataMasque

Synthetic data that hits the numbers you declare, exactly. Multi-table with verified foreign-key integrity, deterministic, no model in the data path. Python + MCP server. In simple terms, a powerful demo data generator for sales/demos/seed data.

Database anonymization and test data management

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

Synthetic data curation for post-training and structured data extraction