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mlc-ai/xgrammar

Fast, Flexible and Portable Structured Generation

C++ ◇ large-language-models Apache-2.0
★1.9KSTARS
⑂217FORKS
!99ISSUES
🏆#1,920GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for mlc-ai/xgrammar
CSV

Momentum

+48

STARS · LAST 30 DAYS

2

PER DAY

#136

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+14+48+180
Per day222
Forks gained+1+4+11

xgrammar gained 48 stars in the last 30 days, about 2 a day, and now has 1.9K. It is about 2 years old and has averaged roughly 968 stars a year. It ranks #136 among C++ repositories and #1,920 across all languages on GitHubRepo.

Trending Record

xgrammar has maintained a continuous presence across global trending indexes, peaking at #1067. Below is the 30-day activity profile:

💡 Overview

xgrammar is an open-source project written in C++: Fast, Flexible and Portable Structured Generation.

Engineered for speed, consistency, and developer ease, it solves common hurdles in large-language-models, structured-generation. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in C++ 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.

📥 Installation

terminal
$ git clone https://github.com/mlc-ai/xgrammar.git
cd xgrammar

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

xgrammar coordinates its core functionality through a modular C++ 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.

🎯 Production Use Cases

Production System Integration

Embed xgrammar into C++ backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open Apache-2.0 license.

🚀 Getting Started

1

Install xgrammar using your package manager: `git clone https://github.com/mlc-ai/xgrammar.git`

2

Initialize your project workspace or configuration file for xgrammar.

3

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

4

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

👍 Strengths

Active community backing with 1,933 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in C++ 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.

⚠️ Considerations

Requires familiarity with C++ 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.

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👥 Who Should Use This

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

🏆 Nearby in the Rankings

mlc-ai/xgrammar is currently ranked #1,920 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,915 laravel/dusk PHP ★ 1.9K Compare ↗
#1,916 AdaptiveCpp/AdaptiveCpp C++ ★ 1.9K Compare ↗
#1,917 onevcat/Rainbow Swift ★ 1.9K Compare ↗
#1,917 crazywhalecc/static-php-cli PHP ★ 1.9K Compare ↗
#1,919 sushi-labs/sushiswap TypeScript ★ 1.9K Compare ↗
#1,920 mlc-ai/xgrammar This Project C++ ★ 1.9K
#1,920 cloudfoundry/cli Go ★ 1.9K Compare ↗
#1,922 jeremyevans/rodauth Ruby ★ 1.9K Compare ↗
#1,923 Shopify/shopify_app Ruby ★ 1.9K Compare ↗
#1,923 UnrealSharp/UnrealSharp C# ★ 1.9K Compare ↗
#1,925 yob/pdf-reader Ruby ★ 1.9K Compare ↗

Frequently Asked Questions

What does xgrammar do? +

Fast, Flexible and Portable Structured Generation

What language is xgrammar written in? +

The primary language is C++. Topics include: large-language-models, structured-generation.

Is xgrammar actively maintained? +

Yes, the last recorded push was on Sep 24, 2026 with 99 open issues being tracked.

How many stars does xgrammar have? +

xgrammar has 1,936 stars and 217 forks on GitHub.

How does xgrammar rank among GitHub repositories? +

With 1,936 stars, mlc-ai/xgrammar is ranked #1,920 globally across all repositories tracked on GitHubRepo and #136 among C++ projects.

What license is xgrammar distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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