labelbox
Labelbox Python API
Decision gist · record as of 2026-08-14
Yes. Labelbox is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively. Install it if you need to programmatically interact with Labelbox projects, export annotations, or integrate labeling workflows into Python applications. Not relevant if you do not use the Labelbox platform.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a valid Labelbox API key to authenticate; integration with Labelbox servers is necessary for most operations.
- Low install friction with a pure-wheel distribution.
- Actively maintained with a recent release and ongoing repository activity.
License · maintenance · safety
permissive license (permissive) — Licensed under Apache Software License (permissive), allowing use in commercial and private projects with minimal restrictions.
last release 2026-07-28 (17 days) · last repo commit 2026-08-03 · 155 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 595,808 downloads/mo, #5,840 on PyPI
Alternatives
Verify before relying
pip install labelbox
from labelbox import Client
client = Client(api_key='your_api_key')
project = client.get_project('project_id')
labels = project.labels- Whether the SDK supports offline annotation workflows or requires live server connectivity for all operations.
- Performance characteristics when working with large annotation datasets or high-volume label exports.
- Extent of support for custom annotation types beyond the built-in schema definitions.
What it is and what it does
Labelbox is the official Python SDK for the Labelbox data labeling platform. It provides a structured client interface to manage labeling projects, retrieve annotations, and work with labeled datasets programmatically. The SDK is built around an ORM layer that maps Labelbox data entities to Python objects, with GraphQL-backed queries for efficient server communication.
The package is organized into functional modules: a data/ package for annotation serialization and deserialization (including NDJson support), an orm/ package providing base classes and generic query patterns, a schema/ package defining entity types, and a Client class serving as the main entry point. It handles pagination, custom exceptions, and utility functions for common workflows. The SDK supports Python versions 3.9 through 3.13 and integrates with standard libraries like pydantic for validation and requests for HTTP communication.
Use it for
- Retrieve and process labeled datasets from Labelbox projects for training machine learning models.
- Programmatically create, update, and manage labeling projects and export annotations in bulk.
- Serialize and deserialize annotation data between Labelbox and external formats like NDJson.
- Automate quality assurance workflows by querying label metadata and project statistics.
- Integrate Labelbox labeling workflows into custom data pipeline and ETL processes.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Labelbox is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively. Install it if you need to programmatically interact with Labelbox projects, export annotations, or integrate labeling workflows into Python applications. Not relevant if you do not use the Labelbox platform.
Install
labelbox on PyPI
Before you install
Low install friction with a pure-wheel distribution. Actively maintained with a recent release and ongoing repository activity. Nine runtime dependencies are all standard, well-established packages.
Requires a valid Labelbox API key to authenticate; integration with Labelbox servers is necessary for most operations.
License in practice
Licensed under Apache Software License (permissive), allowing use in commercial and private projects with minimal restrictions.
Quickstart
pip install labelbox
from labelbox import Client
client = Client(api_key='your_api_key')
project = client.get_project('project_id')
labels = project.labelsVerify before relying
- Whether the SDK supports offline annotation workflows or requires live server connectivity for all operations.
- Performance characteristics when working with large annotation datasets or high-volume label exports.
- Extent of support for custom annotation types beyond the built-in schema definitions.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release <3.14,>=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 9 packagesgeojsongoogle-api-corelbox-clientspydanticpython-dateutilpyyamlrequestsstrenumtqdm |
| Maintenance | Actively maintained 17 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 595,808 / month, #5,840 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Science/ResearchLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9Topic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Software Development :: Libraries |
Evidence: labelbox-7.11.0-py3-none-any.whl
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