NVIDIA-NeMo

    NVIDIA-NeMo/DataDesigner

    #475 this week

    🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.

    llm
    agentic-ai
    data-augmentation
    data-generation
    mcp
    multimodal
    Python
    Apache-2.0
    2.3K stars
    227 forks
    2.3K GitHub watchers
    Updated Oct 14, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

    Explore Backblaze Labs

    Loading star history...

    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    Ranks #475 of 2,845 repositories GStars tracks this week (top 17%).

    5 releases in the last 90 days, the latest 1 day ago, with 32 contributors on GitHub.

    Use Cases & Benefits

    • Generates high-quality synthetic datasets from scratch or seed data using statistical samplers, LLMs, and dependency-aware generation.
    • Provides flexible control over data relationships and built-in validation with Python, SQL, and LLM-based quality scoring for production-grade synthetic data.
    • Use for creating diverse synthetic datasets to augment training data in machine learning projects requiring realistic correlations.
    • Use for validating and scoring synthetic data quality in data engineering pipelines to ensure reliable downstream analytics.
    • Use for agent-assisted dataset design and generation via coding agents to automate schema creation and data synthesis workflows.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    Generate high-quality synthetic datasets from scratch or using your own seed data.

    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.

    Excerpt from the NVIDIA-NeMo/DataDesigner README on GitHub (Apache-2.0 license). Β© its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    227+33

    Open issues

    58+11

    Compared with peers in LLM

    Fastest-growing repositories GStars tracks in this cohort for the week of Oct 11, by 7-day star growth

    NVIDIA-NeMo/DataDesigner compared with LLM repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    DietrichGebert/ponytail175.5K+5.3K758 days ago
    tashfeenahmed/freellmapi41.0K+3.8K751 day ago
    thedotmack/claude-mem102.8K+2.4K751 day ago
    TencentCloud/TencentDB-Agent-Memory29.7K+1.5K757 days ago
    p-e-w/heretic35.5K+1.3K41124 days ago
    NVIDIA-NeMo/DataDesigner2.3K+0751 day ago
    Category median41.0K+2.4K75β€”

    Also by NVIDIA-NeMo

    Other repositories from this maintainer that GStars tracks

    Discover Repositories

    Search across tracked repositories by name or description