ultralytics/yolov5
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
⚡ Executive Summary & Quick Facts
Authoritative Sourceyolov5 is yolov5 is an open-source project written in Python: Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), ultralytics/yolov5 has accumulated 58,248 GitHub stars and 17,445 forks. It is written in Python, licensed under AGPL-3.0, and ranks #226 globally. It is actively maintained with the latest commit recorded on Nov 1, 2026.”
| Repository | ultralytics/yolov5 ↗ |
|---|---|
| Primary Category | computer vision |
| Language & Stack | Python |
| Software License | AGPL-3.0 |
| Community Traction | ★ 58.2K stars · ⑂ 17.4K forks · #226 globally |
| Maintenance | ● Active (Last commit: Nov 1, 2026) · 25 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 100/100 · Grade A+Yes, yolov5 is actively maintained. Continuous telemetry recorded the last code commit on Nov 1, 2026 (0 days ago). Supported by 58,248 stars and 17,445 community forks, this repository holds a calculated health index of 100/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+1.5K
STARS · LAST 30 DAYS
49
PER DAY
#62
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +343 | +1.5K | +4.4K |
| Per day | 49 | 49 | 49 |
| Forks gained | +87 | +349 | +872 |
yolov5 gained 1.5K stars in the last 30 days, about 49 a day, and now has 58.2K. It is about 6 years old and has averaged roughly 9.7K stars a year. It ranks #62 among Python repositories and #226 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#6615
BEST RANK
Nov 1, 2026
FIRST APPEARANCE
Active
STATUS TODAY
yolov5 has maintained a continuous presence across global trending indexes, peaking at #6615. Below is the 30-day activity profile:
💡 Overview
yolov5 is an open-source project written in Python: Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
Engineered for speed, consistency, and developer ease, it solves common hurdles in computer-vision, coreml, deep-learning. 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 Python 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
$ pip install yolov5⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
yolov5 coordinates its core functionality through a modular Python 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 yolov5.
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 yolov5 using your package manager: `pip install yolov5`
Initialize your project workspace or configuration file for yolov5.
Import yolov5 into your codebase or invoke it directly from your terminal.
Execute your test suite or run `yolov5 --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
ultralytics/yolov5 is currently ranked #226 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #221 | rails/rails | Ruby | ★ 58.8K | Compare ↗ |
| #222 | pmndrs/zustand | TypeScript | ★ 58.8K | Compare ↗ |
| #223 | pathwaycom/serviette | Python | ★ 58.7K | Compare ↗ |
| #224 | go-gitea/gitea | Go | ★ 58.5K | Compare ↗ |
| #225 | jellyfin/jellyfin | C# | ★ 58.4K | Compare ↗ |
| #226 | ultralytics/yolov5 This Project | Python | ★ 58.2K | |
| #227 | appwrite/appwrite | TypeScript | ★ 57.8K | Compare ↗ |
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Frequently Asked Questions
What does yolov5 do? +
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
Is yolov5 actively maintained in 2026? +
Yes, yolov5 is actively maintained. The latest code push was recorded on Nov 1, 2026 (0 days ago). It holds a calculated Maintenance Health Score of 100/100 (A+ rating) with 58,248 stars and 25 open issues.
What language is yolov5 written in? +
The primary language is Python. Topics include: computer-vision, coreml, deep-learning, image-classification, inference.
How many stars does yolov5 have? +
yolov5 has 58,248 stars and 17,445 forks on GitHub.
How does yolov5 rank among GitHub repositories? +
With 58,248 stars, ultralytics/yolov5 is ranked #226 globally across all repositories tracked on GitHubRepo and #62 among Python projects.
What license is yolov5 distributed under? +
The repository reports a AGPL-3.0 license. Always verify the repository LICENSE file for legal terms.
