AI/ML Data Curation Library
1.7k 2026-04-18
bespokelabsai/curator
A Python library for generating and curating high-quality synthetic data for AI model training and structured data extraction.
Core Features
Rich Python library for synthetic data generation and curation.
First-class support for structured outputs.
Built-in performance optimizations (asynchronous operations, caching, fault recovery).
Wide range of inference options via LiteLLM, vLLM, and popular batch APIs.
Viewer to monitor data while it is being generated.
Quick Start
pip install bespokelabs-curatorDetailed Introduction
Bespoke Curator is an advanced Python library designed to streamline the creation of synthetic data pipelines. It empowers developers and researchers to quickly and robustly generate high-quality data, essential for both training large language models and extracting structured information. With features like performance optimizations, support for various inference backends, and real-time monitoring, Curator addresses the critical need for scalable and efficient data preparation in the AI/ML lifecycle, reducing costs and accelerating model development.