cvat-sdk
Software Development Kit for CVAT
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no known vulnerabilities, installs with low friction, and carries a permissive MIT license. It is the official SDK for CVAT and well-suited for teams automating annotation workflows or integrating CVAT into larger systems. Install it if you need programmatic access to a CVAT server; skip it if you only use CVAT's web UI.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; a CVAT server must be running and accessible.
- Low friction installation with a pure-wheel distribution.
- Active maintenance with a recent release (2 days old) and a well-established repository (16525 stars).
License · maintenance · safety
MIT (permissive) — MIT license permits free use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.
last release 2026-08-12 (2 days) · last repo commit 2026-08-14 · 16,525 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 104,582 downloads/mo, #12,746 on PyPI
Alternatives
Verify before relying
pip install cvat-sdk
import cvat_sdk
# Access CVAT server through the high-level Core API
from cvat_sdk.core import Client- Whether the PyTorch and masks extras are commonly needed or optional for typical workflows.
- Performance characteristics when handling large annotation projects or high-volume API calls.
- Compatibility guarantees with specific CVAT server versions.
- Specific server address and authentication requirements for Client initialization.
What it is and what it does
cvat-sdk is a Python client library that connects your code to a running CVAT server, allowing you to automate annotation workflows, retrieve and manage annotation data, and integrate computer vision annotation into larger pipelines. It exposes multiple API layers: low-level server API wrappers for direct control, high-level tools for common tasks, a PyTorch adapter for deep learning workflows, and auto-annotation support for model-driven labeling. The library depends on standard utilities like attrs, Pillow, tqdm, and urllib3, making it lightweight to install.
The package is actively maintained (latest release 2 days old) with strong community backing (16525 GitHub stars). It supports current Python versions (3.10+) and is distributed as a pure wheel, so installation is straightforward. Optional extras allow you to pull in PyTorch or mask-processing dependencies only when needed. No known security vulnerabilities are recorded.
Use it for
- Automate bulk annotation uploads and downloads from CVAT without manual UI interaction.
- Build custom labeling workflows that integrate CVAT with your training pipeline.
- Use PyTorch models for auto-annotation to speed up large-scale annotation projects.
- Query and filter annotation metadata programmatically for quality assurance or analysis.
- Integrate CVAT into CI/CD pipelines for continuous dataset generation and validation.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no known vulnerabilities, installs with low friction, and carries a permissive MIT license. It is the official SDK for CVAT and well-suited for teams automating annotation workflows or integrating CVAT into larger systems. Install it if you need programmatic access to a CVAT server; skip it if you only use CVAT's web UI.
Install
cvat-sdk on PyPI
Before you install
Low friction installation with a pure-wheel distribution. Active maintenance with a recent release (2 days old) and a well-established repository (16525 stars). Requires Python 3.10 or later.
Requires Python 3.10 or later; a CVAT server must be running and accessible.
License in practice
MIT license permits free use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.
Quickstart
pip install cvat-sdk
import cvat_sdk
# Access CVAT server through the high-level Core API
from cvat_sdk.core import ClientVerify before relying
- Whether the PyTorch and masks extras are commonly needed or optional for typical workflows.
- Performance characteristics when handling large annotation projects or high-volume API calls.
- Compatibility guarantees with specific CVAT server versions.
- Specific server address and authentication requirements for Client initialization.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 8 packagesattrspackagingPillowplatformdirstqdmtyping_extensionspython_dateutilurllib3 |
| Maintenance | Actively maintained 2 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 104,582 / month, #12,746 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Operating System :: OS IndependentProgramming Language :: Python :: 3 |
Evidence: cvat_sdk-2.73.0-py3-none-any.whl
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