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cvat-ai/cvat

CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.

Python ◇ annotation MIT
★17.1KSTARS
⑂4KFORKS
!589ISSUES
🏆#989GLOBAL RANK
🔥44DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

cvat is 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..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), cvat-ai/cvat has accumulated 17,053 GitHub stars and 4,036 forks. It is written in Python, licensed under MIT, and ranks #989 globally. It is actively maintained with the latest commit recorded on Nov 3, 2026.”
Repository cvat-ai/cvat ↗
Primary Category annotation
Language & Stack Python
Software License MIT
Community Traction ★ 17.1K stars · ⑂ 4K forks · #989 globally
Maintenance ● Active (Last commit: Nov 3, 2026) · 589 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: 95/100 · Grade A+
✅
Is cvat actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, cvat is actively maintained. Continuous telemetry recorded the last code commit on Nov 3, 2026 (10 days ago). Supported by 17,053 stars and 4,036 community forks, this repository holds a calculated health index of 95/100, reflecting very active (commits within last 14 days) and active community feedback (589 open).

Commit Recency
Nov 3, 2026
10 days since last push
Issue Backlog
589 Open Issues
Active Community Feedback (589 open)
Community Backing
4K Forks
17.1K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

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

+193

STARS · LAST 30 DAYS

6

PER DAY

#176

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+193+540
Per day166
Forks gained+0+142+202

cvat gained 193 stars in the last 30 days, about 6 a day, and now has 17.1K. It is about 8 years old and has averaged roughly 2.1K stars a year. It ranks #176 among Python repositories and #989 across all languages on GitHubRepo.

Trending Record

cvat has maintained a continuous presence across global trending indexes, peaking at #517. 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 #989 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
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Frequently Asked Questions

What does cvat do? +

CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.

Is cvat actively maintained in 2026? +

Yes, cvat is actively maintained. The latest code push was recorded on Nov 3, 2026 (10 days ago). It holds a calculated Maintenance Health Score of 95/100 (A+ rating) with 17,053 stars and 589 open issues.

What language is cvat written in? +

The primary language is Python. Topics include: annotation, annotation-tool, annotations, audio-annotation, audio-annotation-tool.

How many stars does cvat have? +

cvat has 17,053 stars and 4,036 forks on GitHub.

How does cvat rank among GitHub repositories? +

With 17,053 stars, cvat-ai/cvat is ranked #989 globally across all repositories tracked on GitHubRepo and #176 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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