---
id: lbox-clients
version: "1.1.2"
license: unclear
license_treatment: permissive
maintenance: active
---

# lbox-clients — This module contains client sdk uses to conntect to the Labelbox API and backends

License: permissive · Maintenance: active · Downloads: 180.5K/mo

## What it is and what it does

lbox-clients is the official Python SDK for connecting to the Labelbox platform through its API. It provides programmatic access to create datasets, manage data rows, and orchestrate annotation workflows. The package depends on google-api-core and requests for HTTP communication with backend services.

It targets developers building ML pipelines that require human-in-the-loop annotation or data quality workflows. The SDK is production-stable (Development Status 5), actively maintained with recent commits, and supports Python 3.9–3.13. Installation is straightforward with low friction.

Use it for:

- Create and manage datasets programmatically, then submit them for annotation through the platform.
- Automate workflows that combine AI predictions with human review and correction.
- Integrate data curation tasks into research experiments or data science pipelines.
- Validate installation and API key connectivity before building larger annotation workflows.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Python SDK client for connecting to the Labelbox API, enabling programmatic access to data curation, annotation, and model evaluation workflows.

Yes. The package is production-stable, actively maintained, has low install friction, no known vulnerabilities, and a permissive license. Install it if you need programmatic access to the Labelbox platform; the main requirement is a valid API key.

## Install

pip install lbox-clients
uv add lbox-clients
poetry add lbox-clients

## Installing lbox-clients

Before you install: Low install friction with a pure-Python wheel. Active maintenance with recent commits (last commit 2026-08-03) and regular releases; supports current Python versions (3.9–3.13).

License in practice: Licensed under Apache Software License (permissive), imposing no significant restrictions on use or redistribution.

Quickstart:

pip install lbox-clients

import labelbox as lb

client = lb.Client(API_KEY)
dataset = client.create_dataset(name="Test Dataset")
data_rows = [{"row_data": "My First Data Row", "global_key": "first-data-row"}]
task = dataset.create_data_rows(data_rows)
task.wait_till_done()

Requires a valid API key generated from the Labelbox web application.

Verify before relying:

- Whether the optional [data] extra adds significant functionality or is primarily for data processing utilities.
- Performance characteristics and rate limits when working with large datasets or concurrent requests.
- Specific use cases beyond dataset creation and data row management that the SDK supports.

## Package facts

- License: not declared (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 180.5K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

api client sdk, data annotation platform, ml labeling tool, human feedback generation, model evaluation api, data-annotation, ml-ops

[View on SkillFed](https://skillfed.io/packages/lbox-clients) · [View on PyPI](https://pypi.org/project/lbox-clients/)