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pykeio/ort

Fast ML inference & training for ONNX models in Rust

Rust ◇ ai Apache-2.0
★2.5KSTARS
⑂275FORKS
!1ISSUES
🏆#2,652GLOBAL RANK
🔥2DAYS TRENDING
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+64

STARS · LAST 30 DAYS

2

PER DAY

#265

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+14+64+180
Per day222
Forks gained+1+6+14

ort gained 64 stars in the last 30 days, about 2 a day, and now has 2.5K. It is about 4 years old and has averaged roughly 637 stars a year. It ranks #265 among Rust repositories and #2,652 across all languages on GitHubRepo.

Trending Record

ort has maintained a continuous presence across global trending indexes, peaking at #3799. Below is the 30-day activity profile:

💡 Overview

ort is an open-source project written in Rust: Fast ML inference & training for ONNX models in Rust.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-training, fine-tuning. 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 Rust 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
$ cargo install ort

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

ort 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

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with ort.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install ort using your package manager: `cargo install ort`

2

Initialize your project workspace or configuration file for ort.

3

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

4

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

👍 Strengths

Active community backing with 2,548 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Rust 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 Rust 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.

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👥 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

pykeio/ort is currently ranked #2,652 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does ort do? +

Fast ML inference & training for ONNX models in Rust

What language is ort written in? +

The primary language is Rust. Topics include: ai, ai-training, fine-tuning, inference, machine-learning.

Is ort actively maintained? +

Yes, the last recorded push was on Oct 3, 2026 with 1 open issues being tracked.

How many stars does ort have? +

ort has 2,548 stars and 275 forks on GitHub.

How does ort rank among GitHub repositories? +

With 2,548 stars, pykeio/ort is ranked #2,652 globally across all repositories tracked on GitHubRepo and #265 among Rust projects.

What license is ort distributed under? +

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

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