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Great Expectations Labs

Makers of the Great Expectations platform, revolutionizing the speed and integrity of data collaboration.

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  1. ge_tutorials ge_tutorials Public archive

    Learn how to add data validation and documentation to a data pipeline built with dbt and Airflow.

    Jupyter Notebook 168 81

  2. put-data-pipeline-under-test-with-pytest-and-great-expectations put-data-pipeline-under-test-with-pytest-and-great-expectations Public

    How to write integration tests for data pipelines using Great Expectations and pytest.

    Python 16 2

  3. great_expectations_lambda great_expectations_lambda Public

    Minimal deployment of Great Expectations on lambda

    Python 11 1

  4. airflow_meetup_demo airflow_meetup_demo Public

    Jupyter Notebook 9 1

  5. tutorial-gx-in-the-data-pipeline tutorial-gx-in-the-data-pipeline Public

    Hands-on examples to integrate GX data validation in a data pipeline.

    Jupyter Notebook 9 5

  6. dgtest dgtest Public

    A CLI tool to help you run the fewest number of tests to ensure coverage over a given commit or PR.

    Python 4

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