ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
⚡ Executive Summary & Quick Facts
Authoritative Sourceonnxruntime is onnxruntime is an open-source project written in C++: ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), microsoft/onnxruntime has accumulated 22,291 GitHub stars and 4,442 forks. It is written in C++, licensed under MIT, and ranks #766 globally. It is actively maintained with the latest commit recorded on Nov 12, 2026.”
| Repository | microsoft/onnxruntime ↗ |
|---|---|
| Primary Category | ai framework |
| Language & Stack | C++ |
| Software License | MIT |
| Community Traction | ★ 22.3K stars · ⑂ 4.4K forks · #766 globally |
| Maintenance | ● Active (Last commit: Nov 12, 2026) · 1,936 open issues |
| Target Audience | Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 90/100 · Grade AYes, onnxruntime is actively maintained. Continuous telemetry recorded the last code commit on Nov 12, 2026 (1 days ago). Supported by 22,291 stars and 4,442 community forks, this repository holds a calculated health index of 90/100, reflecting very active (commits within last 14 days) and high open issue volume (1,936 open).
Star History
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+262
STARS · LAST 30 DAYS
9
PER DAY
#44
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +262 | +262 | +810 |
| Per day | 37 | 9 | 9 |
| Forks gained | +160 | +160 | +222 |
onnxruntime gained 262 stars in the last 30 days, about 9 a day, and now has 22.3K. It is about 8 years old and has averaged roughly 2.8K stars a year. It ranks #44 among C++ repositories and #766 across all languages on GitHubRepo.
Trending Record
43
DAYS ON TRENDING
#446
BEST RANK
Sep 25, 2026
FIRST APPEARANCE
Active
STATUS TODAY
onnxruntime has maintained a continuous presence across global trending indexes, peaking at #446. 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
Optimized execution pipeline written in C++ 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
$ 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
Install onnxruntime using your package manager: `git clone https://github.com/microsoft/onnxruntime.git`
Initialize your project workspace or configuration file for onnxruntime.
Import onnxruntime into your codebase or invoke it directly from your terminal.
Execute your test suite or run `onnxruntime --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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 #766 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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| #766 | microsoft/onnxruntime This Project | C++ | ★ 22.3K | |
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Frequently Asked Questions
What does onnxruntime do? +
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Is onnxruntime actively maintained in 2026? +
Yes, onnxruntime is actively maintained. The latest code push was recorded on Nov 12, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 90/100 (A rating) with 22,291 stars and 1,936 open issues.
What language is onnxruntime written in? +
The primary language is C++. Topics include: ai-framework, deep-learning, hardware-acceleration, machine-learning, neural-networks.
How many stars does onnxruntime have? +
onnxruntime has 22,291 stars and 4,442 forks on GitHub.
How does onnxruntime rank among GitHub repositories? +
With 22,291 stars, microsoft/onnxruntime is ranked #766 globally across all repositories tracked on GitHubRepo and #44 among C++ projects.
What license is onnxruntime distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
