google-ai-edge/litert-torch
Support PyTorch model conversion with LiteRT.
⚡ Executive Summary & Quick Facts
Authoritative Sourcelitert-torch is litert-torch is an open-source project written in Jupyter Notebook: Support PyTorch model conversion with LiteRT..
| Repository | google-ai-edge/litert-torch ↗ |
|---|---|
| Primary Category | developer tools |
| Language & Stack | Jupyter Notebook |
| Software License | Apache-2.0 |
| Community Traction | ★ 1.1K stars · ⑂ 190 forks · #6,067 globally |
| Maintenance | ● Active (Last commit: Oct 1, 2026) · 206 open issues |
| Target Audience | Developers and engineering teams building with Jupyter Notebook, seeking reliable, tested, and actively maintained tooling for production workloads. |
Star History
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+28
STARS · LAST 30 DAYS
1
PER DAY
#8
MOST-STARRED Jupyter Notebook
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +28 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +4 | +10 |
litert-torch gained 28 stars in the last 30 days, about 1 a day, and now has 1.1K. It is about 2 years old and has averaged roughly 551 stars a year. It ranks #8 among Jupyter Notebook repositories and #6,067 across all languages on GitHubRepo.
Trending Record
18
DAYS ON TRENDING
#4060
BEST RANK
Oct 1, 2026
FIRST APPEARANCE
Active
STATUS TODAY
litert-torch has maintained a continuous presence across global trending indexes, peaking at #4060. Below is the 30-day activity profile:
💡 Overview
litert-torch is an open-source project written in Jupyter Notebook: Support PyTorch model conversion with LiteRT.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Jupyter Notebook. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Jupyter Notebook 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.
📥 Installation
$ git clone https://github.com/google-ai-edge/litert-torch.git
cd litert-torch⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Jupyter Notebook environment and standard tooling
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
litert-torch coordinates its core functionality through a modular Jupyter Notebook 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-torch into Jupyter Notebook 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
Install litert-torch using your package manager: `git clone https://github.com/google-ai-edge/litert-torch.git`
Initialize your project workspace or configuration file for litert-torch.
Import litert-torch into your codebase or invoke it directly from your terminal.
Execute your test suite or run `litert-torch --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Jupyter Notebook, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
google-ai-edge/litert-torch is currently ranked #6,067 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #6,061 | open-telemetry/opentelemetry-python-contrib | Python | ★ 1.1K | Compare ↗ |
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| #6,067 | google-ai-edge/litert-torch This Project | Jupyter Notebook | ★ 1.1K | |
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Frequently Asked Questions
What does litert-torch do? +
Support PyTorch model conversion with LiteRT.
What language is litert-torch written in? +
The primary language is Jupyter Notebook. Topics include: software.
Is litert-torch actively maintained? +
Yes, the last recorded push was on Oct 1, 2026 with 206 open issues being tracked.
How many stars does litert-torch have? +
litert-torch has 1,102 stars and 190 forks on GitHub.
How does litert-torch rank among GitHub repositories? +
With 1,102 stars, google-ai-edge/litert-torch is ranked #6,067 globally across all repositories tracked on GitHubRepo and #8 among Jupyter Notebook projects.
What license is litert-torch distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
