by NVIDIA-NeMo · MCP Server · ★ 2.1k
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🎨 NeMo Data Designer Generate high-quality synthetic datasets from scratch or using your own seed data. Welcome! Data Designer helps you create synthetic datasets that go beyond simple LLM prompting. Whether you need diverse statistical distributions, meaningful correlations between fields, or validated high-quality outputs, Data Designer provides a flexible framework for building production-grade synthetic data. What can you do with Data Designer? Generate diverse data using statistical samplers, LLMs, or existing seed datasets Control relationships between fields with dependency-aware generation Validate quality with built-in Python, SQL, and custom local and remote validato
| Stars | 2,053 |
| Forks | 192 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 65.6902148424591/100 |
| Open Issues | 60 |
| Last Updated | 2026-06-29 |
| Created | 2025-10-16 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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DataDesigner is 🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.. It is categorized as a MCP Server with 2.1k GitHub stars.
DataDesigner is primarily written in Python. It covers topics such as agentic-ai, data-augmentation, data-generation.
You can find installation instructions and usage details in the DataDesigner GitHub repository at github.com/NVIDIA-NeMo/DataDesigner. The project has 2.1k stars and 192 forks, indicating an active community.
DataDesigner is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to DataDesigner on Agent Skills Hub include cursor-talk-to-figma-mcp, sdk-python, UltraRAG. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.