lbox-clients
This module contains client sdk uses to conntect to the Labelbox API and backends
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a valid API key generated from the Labelbox web application.
- 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 · maintenance · safety
permissive license (permissive) — Licensed under Apache Software License (permissive), imposing no significant restrictions on use or redistribution.
last release 2025-01-16 (575 days) · last repo commit 2026-08-03 · 155 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 180,496 downloads/mo, #10,144 on PyPI
Alternatives
Verify before relying
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()- 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.
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 on this page. Verify before relying on it.
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
lbox-clients on PyPI
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).
Requires a valid API key generated from the Labelbox web application.
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()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 | permissive license permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesgoogle-api-corerequests |
| Maintenance | Actively maintained 575 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 180,496 / month, #10,144 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: lbox_clients-1.1.2-py3-none-any.whl
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See also labelbox · interpret · label-studio · dlib · whylabs-client · unitxt · interpret-core · id · label-studio-sdk