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This guide introduces you to the landingai development process and provides information on writing, testing, and building the landingai library.

Read this guide if you need to perform any of the following tasks:

  • Install the landingai library locally.
  • Contribute to the landingai library.

Install landingai Library Locally

Prerequisite: Install Poetry

landingai uses Poetry for packaging and dependency management. If you want to build it from source, you have to install Poetry first. To see all possible options, refer to the Poetry documentation.

For Linux, macOS, Windows (WSL):

curl -sSL | python3 -

Note: You can switch to use a different Python version by specifying the python version:

curl -sSL | python3.10 -

Or run the following command after installing Poetry:

poetry env use 3.10

Install All Dependencies

poetry install --all-extras

Activate the virtualenv

poetry shell

Test and Lint landingai

Run Linting

poetry run flake8 . --exclude .venv --count --show-source --statistics

Run Tests

poetry run pytest tests/


The CI and CD pipelines are defined in the .github/workflows/ci_cd.yml file.

Every git commit will trigger a release to PyPi at


When we release a new library version, we version it using Semantic Versioning 2.0.0(MAJOR.MINOR.PATCH). The version number is defined in the pyproject.toml file in the version field.

As a general rule of thumb, given a version number MAJOR.MINOR.PATCH, increment the:

  • MAJOR version when you make incompatible API changes.
  • MINOR version when you add functionality in a backward-compatible manner, such as adding a new feature.
  • PATCH version when you make backward-compatible bug fixes and minor changes.

Note: The CD pipeline will automatically increment the PATCH version for every git commit. For a MINOR or MAJOR version change, you need to manually update pyproject.toml to bump the version number.