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NVIDIA-NeMo/DataDesigner

๐ŸŽจ NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.

Python โ—‡ agentic-ai Apache-2.0
โ˜…2.3KSTARS
โ‘‚214FORKS
!58ISSUES
๐Ÿ†#1,922GLOBAL RANK
๐Ÿ”ฅ2DAYS TRENDING
๐Ÿš€
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Star History

Continuous Observations
Interactive star growth chart for NVIDIA-NeMo/DataDesigner
CSV

Momentum

+57

STARS ยท LAST 30 DAYS

2

PER DAY

#269

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+14+57+180
Per day222
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

DataDesigner has maintained a continuous presence across global trending indexes, peaking at #2256. Below is the 30-day activity profile:

๐Ÿ’ก Overview

DataDesigner is an open-source project written in Python: ๐ŸŽจ 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.

โšก Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

๐Ÿ“ฅ Installation

terminal
$ pip install DataDesigner

โš™ System Requirements

Platforms

  • โ€ข macOS
  • โ€ข Linux
  • โ€ข Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

๐Ÿง  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.

๐ŸŽฏ 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.

๐Ÿš€ Getting Started

1

Install DataDesigner using your package manager: `pip install DataDesigner`

2

Initialize your project workspace or configuration file for DataDesigner.

3

Import DataDesigner into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `DataDesigner --help` to verify successful setup.

๐Ÿ‘ Strengths

Active community backing with 2,290 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

โš ๏ธ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

โ‡„ Alternatives & Direct Competitors

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๐Ÿ‘ฅ Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

๐Ÿ† Nearby in the Rankings

NVIDIA-NeMo/DataDesigner is currently ranked #1,922 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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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
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#1,924 SpaceTimee/Fusion-JetBrainsMapleMono Python โ˜… 2.3K Compare โ†—
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Frequently Asked Questions

What does DataDesigner do? +

๐ŸŽจ 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.

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