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google-ai-edge/LiteRT

LiteRT, successor to TensorFlow Lite. is Google's On-device framework for high-performance ML & GenAI deployment on edge platforms, via efficient conversion, runtime, and optimization

C++ ◇ developer-tools Apache-2.0
★3.5KSTARS
⑂463FORKS
!2,965ISSUES
🏆#2,240GLOBAL RANK
🔥10DAYS TRENDING
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Momentum

+87

STARS · LAST 30 DAYS

3

PER DAY

#163

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+18+87+270
Per day333
Forks gained+0+9+23

LiteRT gained 87 stars in the last 30 days, about 3 a day, and now has 3.5K. It is about 2 years old and has averaged roughly 1.7K stars a year. It ranks #163 among C++ repositories and #2,240 across all languages on GitHubRepo.

Trending Record

LiteRT has maintained a continuous presence across global trending indexes, peaking at #563. Below is the 30-day activity profile:

💡 Overview

LiteRT is an open-source project written in C++: LiteRT, successor to TensorFlow Lite. is Google's On-device framework for high-performance ML & GenAI deployment on edge platforms, via efficient conversion, runtime, and optimization.

Engineered for speed, consistency, and developer ease, it solves common hurdles in C++. 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/google-ai-edge/LiteRT.git
cd LiteRT

⚙ 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

LiteRT 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 LiteRT 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 LiteRT using your package manager: `git clone https://github.com/google-ai-edge/LiteRT.git`

2

Initialize your project workspace or configuration file for LiteRT.

3

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

4

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

👍 Strengths

Active community backing with 3,439 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.

⇄ Alternatives & Direct Competitors

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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

google-ai-edge/LiteRT is currently ranked #2,240 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#2,235 vercel-labs/wterm TypeScript ★ 3.5K Compare ↗
#2,236 google/ksp Kotlin ★ 3.5K Compare ↗
#2,236 PennyLaneAI/pennylane Python ★ 3.5K Compare ↗
#2,238 WordPress/wordpress-develop PHP ★ 3.5K Compare ↗
#2,239 VerifyTests/Verify C# ★ 3.5K Compare ↗
#2,240 google-ai-edge/LiteRT This Project C++ ★ 3.5K
#2,241 apache/datafusion-sqlparser-rs Rust ★ 3.5K Compare ↗
#2,242 Legcord/Legcord TypeScript ★ 3.5K Compare ↗
#2,243 JasperFx/marten C# ★ 3.5K Compare ↗
#2,243 slatedb/slatedb Rust ★ 3.5K Compare ↗
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Frequently Asked Questions

What does LiteRT do? +

LiteRT, successor to TensorFlow Lite. is Google's On-device framework for high-performance ML & GenAI deployment on edge platforms, via efficient conversion, runtime, and optimization

What language is LiteRT written in? +

The primary language is C++. Topics include: software.

Is LiteRT actively maintained? +

Yes, the last recorded push was on Oct 2, 2026 with 2,965 open issues being tracked.

How many stars does LiteRT have? +

LiteRT has 3,467 stars and 463 forks on GitHub.

How does LiteRT rank among GitHub repositories? +

With 3,467 stars, google-ai-edge/LiteRT is ranked #2,240 globally across all repositories tracked on GitHubRepo and #163 among C++ projects.

What license is LiteRT distributed under? +

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

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