GH Repository · NVIDIA-NeMo
DataDesigner
🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
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python/uvmakeagentic-ainemodata-augmentationdata-generationPythonpythonllmnvidiamcpmultimodalsdgsynthetic-datatool-usemcp-server
NeMo Data Designer is an NVIDIA NeMo tool for generating high-quality synthetic data, either from scratch or from seed data. It is packaged as an MCP server and is written in Python with a uv-based toolchain.
Use it when you need LLM-driven synthetic data generation or augmentation, including multimodal data, within an agentic or MCP-based workflow.
Use it to
- Generate synthetic datasets from scratch
- Augment existing seed data
- Serve data generation over MCP
- Build multimodal training data with LLMs
For ML and data teams building agentic AI systems
- Role
- mcp-server
- Language
- Python
- Licence
- Apache-2.0
- Forks
- 209
- Open issues
- 56
- Last push
- 2026-09-16
- Latest release
- v0.1.0 · 2025-11-20
- Skills shipped
- 1
topicssynthetic-datadata-generationmcpllmmultimodalagentic-ai