Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
Star History
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+406
STARS · LAST 30 DAYS
14
PER DAY
#152
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +98 | +406 | +1.3K |
| Per day | 14 | 14 | 14 |
| Forks gained | +19 | +74 | +186 |
labelme gained 406 stars in the last 30 days, about 14 a day, and now has 16.2K. It is about 10 years old and has averaged roughly 1.6K stars a year. It ranks #152 among Python repositories and #876 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#4619
BEST RANK
Oct 16, 2026
FIRST APPEARANCE
Active
STATUS TODAY
labelme has maintained a continuous presence across global trending indexes, peaking at #4619. Below is the 30-day activity profile:
💡 Overview
labelme is an open-source project written in Python: Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
Engineered for speed, consistency, and developer ease, it solves common hurdles in annotations, classification, computer-vision. 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 labelme⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
labelme 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
Production System Integration
Embed labelme into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open GPL-3.0 license.
🚀 Getting Started
Install labelme using your package manager: `pip install labelme`
Initialize your project workspace or configuration file for labelme.
Import labelme into your codebase or invoke it directly from your terminal.
Execute your test suite or run `labelme --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
wkentaro/labelme is currently ranked #876 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #871 | FreshRSS/FreshRSS | PHP | ★ 16.3K | Compare ↗ |
| #872 | go-task/task | Go | ★ 16.3K | Compare ↗ |
| #873 | scalar/scalar | TypeScript | ★ 16.3K | Compare ↗ |
| #874 | Automattic/harper | Rust | ★ 16.3K | Compare ↗ |
| #875 | dagster-io/dagster | Python | ★ 16.2K | Compare ↗ |
| #876 | wkentaro/labelme This Project | Python | ★ 16.2K | |
| #877 | PyO3/pyo3 | Rust | ★ 16.2K | Compare ↗ |
| #878 | Jackett/Jackett | C# | ★ 16.2K | Compare ↗ |
| #879 | quickwit-oss/tantivy | Rust | ★ 16.2K | Compare ↗ |
| #880 | winsiderss/systeminformer | C | ★ 16.1K | Compare ↗ |
| #881 | tracel-ai/burn | Rust | ★ 16.1K | Compare ↗ |
Frequently Asked Questions
What does labelme do? +
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
What language is labelme written in? +
The primary language is Python. Topics include: annotations, classification, computer-vision, deep-learning, image-annotation.
Is labelme actively maintained? +
Yes, the last recorded push was on Oct 16, 2026 with 173 open issues being tracked.
How many stars does labelme have? +
labelme has 16,224 stars and 3,717 forks on GitHub.
How does labelme rank among GitHub repositories? +
With 16,224 stars, wkentaro/labelme is ranked #876 globally across all repositories tracked on GitHubRepo and #152 among Python projects.
What license is labelme distributed under? +
The repository reports a GPL-3.0 license. Always verify the repository LICENSE file for legal terms.
