Labelbox

Core mono-module for Labelbox's Python SDK.

Table of Contents

Setup

rye sync --all-features # to install labelbox[data] dependencies

Repository Organization

The SDK source (excluding tests and support tools) is organized into the following packages/modules:

  • data/ package contains code that maps annotations (labels or pre-labels) to Python objects, as well as serialization and deserialization tools for converting between NDJson and Annotation Types.
  • orm/ package contains code that supports the general mapping of Labelbox data to Python objects. This includes base classes, attribute (field and relationship) classes, generic GraphQL queries etc.
  • schema/ package contains definitions of classes which represent data type (e.g. Project, Label etc.). It relies on orm/ classes for easy and succinct object definitions. It also contains custom functionalities and custom GraphQL templates where necessary.
  • client.py contains the Client class that's the client-side stub for communicating with Labelbox servers.
  • exceptions.py contains declarations for all Labelbox errors.
  • pagination.py contains support for paginated relationship and collection fetching.
  • utils.py contains utility functions.

Testing

Unit Testing

rye run unit

Integration Testing

LABELBOX_TEST_API_KEY="YOUR_API_TEST_KEY" LABELBOX_TEST_ENVIRON="prod" rye run integration

For more info on how to get a LABELBOX_TEST_API_KEY Labelbox API key docs.

Integration tests by default will run against your account that you provide an API Key from and modify its data. If you want to run integration tests, without it impacting your existing account, create an additional account using a secondary e-mail on Labelbox. Free accounts are sufficent for integration testing purposes.

You can also use a .env file if you prefer instead of needing to type out the environmental overrides every single time you want to run commands. Please add a --env-file parameter to the test command (EG rye --env-file=.env run integration).

(Optional) Data Testing

For testing the impact of the extra installs included with labelbox[data], run the following:

LABELBOX_TEST_API_KEY="YOUR_API_TEST_KEY" LABELBOX_TEST_ENVIRON="prod" rye run data

By default rye sync does not install the extra packages needed in labelbox[data]. You'll need to run rye sync --all-features. Do not checkin requirements.lock or requirements-dev.lock after doing this.

Linting / Formatting

Before making a commit, to automatically adhere to our formatting standards, it is recommended to install and activate pre-commit

pip install pre-commit
pre-commit install

After the above, running git commit ... will attempt to fix formatting, and make necessary changes to files. You will then need to stage those files again.

You may also manually format your code by running the following:

rye run lint

Documentation

To generate documentation for all modules (ReadTheDocs), run the following command.

rye run docs

Project links

Data verified by PyPI on Aug 25, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
Latest release

1 maintainer

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Avatar for labelbox from gravatar.com labelbox

Credits

Author: Labelbox

GitHub Statistics

Data verified by PyPI on Aug 25, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

Apache Software License

Requires

Python <3.14, >=3.9

Provides Extra

alignerr data

Tags

ai edu labelbox labeling llm machinelearning ml

Classifiers

Report project as malware

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