Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Star History
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+401
STARS · LAST 30 DAYS
13
PER DAY
#101
MOST-STARRED Rust
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +91 | +401 | +1.2K |
| Per day | 13 | 13 | 13 |
| Forks gained | +5 | +22 | +54 |
burn gained 401 stars in the last 30 days, about 13 a day, and now has 16K. It is about 4 years old and has averaged roughly 4K stars a year. It ranks #101 among Rust repositories and #803 across all languages on GitHubRepo.
Trending Record
4
DAYS ON TRENDING
#3543
BEST RANK
Oct 7, 2026
FIRST APPEARANCE
Active
STATUS TODAY
burn has maintained a continuous presence across global trending indexes, peaking at #3543. Below is the 30-day activity profile:
💡 Overview
burn is an open-source project written in Rust: Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Engineered for speed, consistency, and developer ease, it solves common hurdles in autodiff, cross-platform, cuda. 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⚙ 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 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 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 using your package manager: `cargo install burn`
Initialize your project workspace or configuration file for burn.
Import burn into your codebase or invoke it directly from your terminal.
Execute your test suite or run `burn --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 is currently ranked #803 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #798 | Jackett/Jackett | C# | ★ 16.2K | Compare ↗ |
| #799 | winsiderss/systeminformer | C | ★ 16.1K | Compare ↗ |
| #800 | ast-grep/ast-grep | Rust | ★ 16.1K | Compare ↗ |
| #801 | alibaba/zvec | C++ | ★ 16.1K | Compare ↗ |
| #802 | cloudflare/cloudflared | Go | ★ 16K | Compare ↗ |
| #803 | tracel-ai/burn This Project | Rust | ★ 16K | |
| #804 | apache/doris | Java | ★ 16K | Compare ↗ |
| #805 | ArduPilot/ardupilot | C++ | ★ 16K | Compare ↗ |
| #806 | mobile-dev-inc/Maestro | Kotlin | ★ 16K | Compare ↗ |
| #807 | quarkusio/quarkus | Java | ★ 15.9K | Compare ↗ |
| #808 | adobe/react-spectrum | TypeScript | ★ 15.9K | Compare ↗ |
Frequently Asked Questions
What does burn do? +
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
What language is burn written in? +
The primary language is Rust. Topics include: autodiff, cross-platform, cuda, deep-learning, kernel-fusion.
Is burn actively maintained? +
Yes, the last recorded push was on Oct 6, 2026 with 221 open issues being tracked.
How many stars does burn have? +
burn has 16,030 stars and 1,077 forks on GitHub.
How does burn rank among GitHub repositories? +
With 16,030 stars, tracel-ai/burn is ranked #803 globally across all repositories tracked on GitHubRepo and #101 among Rust projects.
What license is burn distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
