ultralytics/inference
High-performance Ultralytics YOLO inference in Rust with ONNX Runtime, GPU backends, CLI, and WebGPU/WASM.
⚡ Executive Summary & Quick Facts
Authoritative Sourceinference is inference is an open-source project written in Rust: High-performance Ultralytics YOLO inference in Rust with ONNX Runtime, GPU backends, CLI, and WebGPU/WASM..
| Repository | ultralytics/inference ↗ |
|---|---|
| Primary Category | cli |
| Language & Stack | Rust |
| Software License | AGPL-3.0 |
| Community Traction | ★ 191 stars · ⑂ 28 forks · #14,221 globally |
| Maintenance | ● Active (Last commit: Oct 14, 2026) · 0 open issues |
| Target Audience | Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads. |
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,358
MOST-STARRED Rust
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
inference gained 10 stars in the last 30 days, about 1 a day, and now has 191. It is about 1 year old and has averaged roughly 191 stars a year. It ranks #1,358 among Rust repositories and #14,221 across all languages on GitHubRepo.
Trending Record
7
DAYS ON TRENDING
#12147
BEST RANK
Oct 14, 2026
FIRST APPEARANCE
Active
STATUS TODAY
inference has maintained a continuous presence across global trending indexes, peaking at #12147. Below is the 30-day activity profile:
💡 Overview
inference is an open-source project written in Rust: High-performance Ultralytics YOLO inference in Rust with ONNX Runtime, GPU backends, CLI, and WebGPU/WASM.
Engineered for speed, consistency, and developer ease, it solves common hurdles in cli, computer-vision, coreml. 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 inference⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Rust toolchain (rustc / cargo >= 1.70)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
inference 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
Command-Line Automation
Execute automated build, deployment, and maintenance tasks directly from the terminal.
CI/CD Workflow Integration
Run non-interactive validation checks in GitHub Actions, GitLab CI, or local pre-commit hooks.
Developer Environment Setup
Standardize local engineering workstations with single-binary utility commands.
Scripting & Pipeline Orchestration
Chain complex multi-stage scripts with reliable error reporting and exits.
🚀 Getting Started
Install inference using your package manager: `cargo install inference`
Initialize your project workspace or configuration file for inference.
Import inference into your codebase or invoke it directly from your terminal.
Execute your test suite or run `inference --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
ultralytics/inference is currently ranked #14,221 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #14,182 | circlefin/arc-node | Rust | ★ 192 | Compare ↗ |
| #14,182 | waysidemapping/pinhead | JavaScript | ★ 192 | Compare ↗ |
| #14,182 | SudoJacky/tinybot | Rust | ★ 192 | Compare ↗ |
| #14,182 | zimingttkx/ConcurrentCache | C++ | ★ 192 | Compare ↗ |
| #14,182 | Birfy/agentdescent | Python | ★ 192 | Compare ↗ |
| #14,221 | ultralytics/inference This Project | Rust | ★ 191 | |
| #14,221 | evan/bleak_house | Ruby | ★ 191 | Compare ↗ |
| #14,221 | itteco/service_merchant | Ruby | ★ 191 | Compare ↗ |
| #14,221 | creationix/node-persistence | JavaScript | ★ 191 | Compare ↗ |
| #14,221 | purify/mail_style | Ruby | ★ 191 | Compare ↗ |
| #14,221 | mkottman/lqt | C++ | ★ 191 | Compare ↗ |
Frequently Asked Questions
What does inference do? +
High-performance Ultralytics YOLO inference in Rust with ONNX Runtime, GPU backends, CLI, and WebGPU/WASM.
What language is inference written in? +
The primary language is Rust. Topics include: cli, computer-vision, coreml, cuda, depth-estimation.
Is inference actively maintained? +
Yes, the last recorded push was on Oct 14, 2026 with 0 open issues being tracked.
How many stars does inference have? +
inference has 191 stars and 28 forks on GitHub.
How does inference rank among GitHub repositories? +
With 191 stars, ultralytics/inference is ranked #14,221 globally across all repositories tracked on GitHubRepo and #1,358 among Rust projects.
What license is inference distributed under? +
The repository reports a AGPL-3.0 license. Always verify the repository LICENSE file for legal terms.
