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cvat-ai/cvat

Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual datasets for vision AI. It offers open-source, cloud, and enterprise products, as well as labeling services, for image, video, and 3D annotation with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.

Python ◇ annotation MIT
★16.8KSTARS
⑂3.9KFORKS
!600ISSUES
🏆#498GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for cvat-ai/cvat
CSV

Momentum

+420

STARS · LAST 30 DAYS

14

PER DAY

#93

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+98+420+1.3K
Per day141414
Forks gained+19+78+194

cvat gained 420 stars in the last 30 days, about 14 a day, and now has 16.8K. It is about 8 years old and has averaged roughly 2.1K stars a year. It ranks #93 among Python repositories and #498 across all languages on GitHubRepo.

Trending Record

cvat has maintained a continuous presence across global trending indexes, peaking at #524. Below is the 30-day activity profile:

💡 Overview

cvat is an open-source project written in Python: Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual datasets for vision AI. It offers open-source, cloud, and enterprise products, as well as labeling services, for image, video, and 3D annotation with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.

Engineered for speed, consistency, and developer ease, it solves common hurdles in annotation, annotation-tool, annotations. 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 Python 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
$ pip install cvat

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

cvat 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

Command-Line Automation

Execute automated build, deployment, and maintenance tasks directly from the terminal.

CI/CD Workflow Integration

Run non-interactive validation checks in GitHub Actions, GitLab CI, or local pre-commit hooks.

Developer Environment Setup

Standardize local engineering workstations with single-binary utility commands.

Scripting & Pipeline Orchestration

Chain complex multi-stage scripts with reliable error reporting and exits.

🚀 Getting Started

1

Install cvat using your package manager: `pip install cvat`

2

Initialize your project workspace or configuration file for cvat.

3

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

4

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

👍 Strengths

Active community backing with 16,790 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python 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 Python 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 Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

cvat-ai/cvat is currently ranked #498 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#493 argoproj/argo-workflows Go ★ 17K Compare ↗
#494 rust-lang/rust-analyzer Rust ★ 16.9K Compare ↗
#495 yhirose/cpp-httplib C++ ★ 16.9K Compare ↗
#496 langchain-ai/openwiki TypeScript ★ 16.8K Compare ↗
#497 pion/webrtc Go ★ 16.8K Compare ↗
#498 cvat-ai/cvat This Project Python ★ 16.8K
#499 ffuf/ffuf Go ★ 16.8K Compare ↗
#500 prestodb/presto Java ★ 16.7K Compare ↗
#501 coder/coder Go ★ 16.7K Compare ↗
#502 hyperledger/fabric Go ★ 16.7K Compare ↗
#503 apple/foundationdb C++ ★ 16.7K Compare ↗

Frequently Asked Questions

What does cvat do? +

Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual datasets for vision AI. It offers open-source, cloud, and enterprise products, as well as labeling services, for image, video, and 3D annotation with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.

What language is cvat written in? +

The primary language is Python. Topics include: annotation, annotation-tool, annotations, boundingbox, computer-vision.

Is cvat actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 600 open issues being tracked.

How many stars does cvat have? +

cvat has 16,799 stars and 3,888 forks on GitHub.

How does cvat rank among GitHub repositories? +

With 16,799 stars, cvat-ai/cvat is ranked #498 globally across all repositories tracked on GitHubRepo and #93 among Python projects.

What license is cvat distributed under? +

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

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