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microsoft/onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

★21.9KSTARS
⑂4.3KFORKS
!1,736ISSUES
🏆#409GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for microsoft/onnxruntime
CSV

Momentum

+548

STARS · LAST 30 DAYS

18

PER DAY

#16

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+126+548+1.6K
Per day181818
Forks gained+21+85+213

onnxruntime gained 548 stars in the last 30 days, about 18 a day, and now has 21.9K. It is about 8 years old and has averaged roughly 2.7K stars a year. It ranks #16 among C++ repositories and #409 across all languages on GitHubRepo.

Trending Record

onnxruntime has maintained a continuous presence across global trending indexes, peaking at #723. Below is the 30-day activity profile:

💡 Overview

onnxruntime is an open-source project written in C++: ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-framework, deep-learning, hardware-acceleration. 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 C++ 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
$ git clone https://github.com/microsoft/onnxruntime.git
cd onnxruntime

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

onnxruntime coordinates its core functionality through a modular C++ 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 onnxruntime.

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 onnxruntime using your package manager: `git clone https://github.com/microsoft/onnxruntime.git`

2

Initialize your project workspace or configuration file for onnxruntime.

3

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

4

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

👍 Strengths

Active community backing with 21,935 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in C++ 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 C++ 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 C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

microsoft/onnxruntime is currently ranked #409 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
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#407 lima-vm/lima Go ★ 22K Compare ↗
#408 steipete/CodexBar Swift ★ 22K Compare ↗
#409 microsoft/onnxruntime This Project C++ ★ 21.9K
#410 vorssaint/vorssaint-utils Swift ★ 21.9K Compare ↗
#411 desktop/desktop TypeScript ★ 21.9K Compare ↗
#412 matomo-org/matomo PHP ★ 21.9K Compare ↗
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Frequently Asked Questions

What does onnxruntime do? +

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

What language is onnxruntime written in? +

The primary language is C++. Topics include: ai-framework, deep-learning, hardware-acceleration, machine-learning, neural-networks.

Is onnxruntime actively maintained? +

Yes, the last recorded push was on Sep 27, 2026 with 1,736 open issues being tracked.

How many stars does onnxruntime have? +

onnxruntime has 21,933 stars and 4,253 forks on GitHub.

How does onnxruntime rank among GitHub repositories? +

With 21,933 stars, microsoft/onnxruntime is ranked #409 globally across all repositories tracked on GitHubRepo and #16 among C++ projects.

What license is onnxruntime distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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