Convert ONNX models into native, backend-agnostic Burn code for inference and fine-tuning.
⚡ Executive Summary & Quick Facts
Authoritative Sourceburn-onnx is burn-onnx is an open-source project written in Rust: Convert ONNX models into native, backend-agnostic Burn code for inference and fine-tuning..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), tracel-ai/burn-onnx has accumulated 134 GitHub stars and 38 forks. It is written in Rust, licensed under Apache-2.0, and ranks #19,636 globally. It is actively maintained with the latest commit recorded on Oct 7, 2026.”
| Repository | tracel-ai/burn-onnx ↗ |
|---|---|
| Primary Category | developer tools |
| Language & Stack | Rust |
| Software License | Apache-2.0 |
| Community Traction | ★ 134 stars · ⑂ 38 forks · #19,636 globally |
| Maintenance | ● Active (Last commit: Oct 7, 2026) · 17 open issues |
| Target Audience | Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 88/100 · Grade AYes, burn-onnx is actively maintained. Continuous telemetry recorded the last code commit on Oct 7, 2026 (25 days ago). Supported by 134 stars and 38 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (25 days ago) and healthy issue cadence.
Star History
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+0
STARS · LAST 30 DAYS
1
PER DAY
#1,866
MOST-STARRED Rust
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +0 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
burn-onnx gained 0 stars in the last 30 days, about 1 a day, and now has 134. It is about 1 year old and has averaged roughly 134 stars a year. It ranks #1,866 among Rust repositories and #19,636 across all languages on GitHubRepo.
Trending Record
35
DAYS ON TRENDING
#4311
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
burn-onnx has maintained a continuous presence across global trending indexes, peaking at #4311. Below is the 30-day activity profile:
💡 Overview
burn-onnx is an open-source project written in Rust: Convert ONNX models into native, backend-agnostic Burn code for inference and fine-tuning.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Rust. 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 Rust 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
$ cargo install burn-onnx⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Rust toolchain (rustc / cargo >= 1.70)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
burn-onnx coordinates its core functionality through a modular Rust 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 burn-onnx into Rust 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 burn-onnx using your package manager: `cargo install burn-onnx`
Initialize your project workspace or configuration file for burn-onnx.
Import burn-onnx into your codebase or invoke it directly from your terminal.
Execute your test suite or run `burn-onnx --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
tracel-ai/burn-onnx is currently ranked #19,636 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #19,582 | Eason4real/releaseguard-ai | TypeScript | ★ 135 | Compare ↗ |
| #19,582 | Luciole-Studio/Misaka-Agent | Python | ★ 135 | Compare ↗ |
| #19,582 | Vibra-Ingenn/Janus | Go | ★ 135 | Compare ↗ |
| #19,582 | lmliheng/Adelie | TypeScript | ★ 135 | Compare ↗ |
| #19,582 | yuk27/VBoyColor | C++ | ★ 135 | Compare ↗ |
| #19,636 | tracel-ai/burn-onnx This Project | Rust | ★ 134 | |
| #19,636 | aasmith/feed-normalizer | Ruby | ★ 134 | Compare ↗ |
| #19,636 | leonho/iphone-libs | Objective-C | ★ 134 | Compare ↗ |
| #19,636 | ealdent/lda-ruby | Ruby | ★ 134 | Compare ↗ |
| #19,636 | mct/tcptraceroute | C | ★ 134 | Compare ↗ |
| #19,636 | russross/s3fslite | C++ | ★ 134 | Compare ↗ |
Frequently Asked Questions
What does burn-onnx do? +
Convert ONNX models into native, backend-agnostic Burn code for inference and fine-tuning.
Is burn-onnx actively maintained in 2026? +
Yes, burn-onnx is actively maintained. The latest code push was recorded on Oct 7, 2026 (25 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 134 stars and 17 open issues.
What language is burn-onnx written in? +
The primary language is Rust. Topics include: software.
How many stars does burn-onnx have? +
burn-onnx has 134 stars and 38 forks on GitHub.
How does burn-onnx rank among GitHub repositories? +
With 134 stars, tracel-ai/burn-onnx is ranked #19,636 globally across all repositories tracked on GitHubRepo and #1,866 among Rust projects.
What license is burn-onnx distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
