NVIDIA-NeMo/DataDesigner
๐จ NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
Star History
Momentum
+57
STARS ยท LAST 30 DAYS
2
PER DAY
#269
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +14 | +57 | +180 |
| Per day | 2 | 2 | 2 |
| Forks gained | +1 | +4 | +11 |
DataDesigner gained 57 stars in the last 30 days, about 2 a day, and now has 2.3K. It is about 1 year old and has averaged roughly 2.3K stars a year. It ranks #269 among Python repositories and #1,922 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#2256
BEST RANK
Sep 28, 2026
FIRST APPEARANCE
Active
STATUS TODAY
DataDesigner has maintained a continuous presence across global trending indexes, peaking at #2256. Below is the 30-day activity profile:
๐ก Overview
DataDesigner is an open-source project written in Python: ๐จ NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agentic-ai, data-augmentation, data-generation. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
โก Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
๐ฅ Installation
$ pip install DataDesigner
โ System Requirements
Platforms
- โข macOS
- โข Linux
- โข Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
๐ง How It Works
DataDesigner coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
๐ฏ Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with DataDesigner.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
๐ Getting Started
Install DataDesigner using your package manager: `pip install DataDesigner`
Initialize your project workspace or configuration file for DataDesigner.
Import DataDesigner into your codebase or invoke it directly from your terminal.
Execute your test suite or run `DataDesigner --help` to verify successful setup.
๐ Strengths
โ ๏ธ Considerations
โ Alternatives & Direct Competitors
๐ฅ Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
๐ Nearby in the Rankings
NVIDIA-NeMo/DataDesigner is currently ranked #1,922 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1,917 | casadi/casadi | C++ | โ 2.3K | Compare โ |
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| #1,921 | yeojz/otplib | TypeScript | โ 2.3K | Compare โ |
| #1,922 | NVIDIA-NeMo/DataDesigner This Project | Python | โ 2.3K | |
| #1,922 | randy3k/radian | Python | โ 2.3K | Compare โ |
| #1,924 | SpaceTimee/Fusion-JetBrainsMapleMono | Python | โ 2.3K | Compare โ |
| #1,925 | Murmele/Gittyup | C++ | โ 2.3K | Compare โ |
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Frequently Asked Questions
What does DataDesigner do? +
๐จ NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
What language is DataDesigner written in? +
The primary language is Python. Topics include: agentic-ai, data-augmentation, data-generation, llm, mcp.
Is DataDesigner actively maintained? +
Yes, the last recorded push was on Sep 28, 2026 with 58 open issues being tracked.
How many stars does DataDesigner have? +
DataDesigner has 2,290 stars and 214 forks on GitHub.
How does DataDesigner rank among GitHub repositories? +
With 2,290 stars, NVIDIA-NeMo/DataDesigner is ranked #1,922 globally across all repositories tracked on GitHubRepo and #269 among Python projects.
What license is DataDesigner distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.