No red flags found in any of the 11 categories β no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by NVIDIA-NeMo · MCP Server · ★ 2.2k
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π¨ 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 | 2,164 |
| Forks | 200 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 65.6902148424591/100 |
| Open Issues | 58 |
| Last Updated | 2026-08-18 |
| Created | 2025-10-16 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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DataDesigner is π¨ NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.. It is categorized as a MCP Server with 2.2k 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 2.2k stars and 200 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.
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