ExpectationConfiguration defines the parameters and name of a specific expectation.

A DataContext represents a Great Expectations project. It organizes storage and access for expectation suites, datasources, notification settings,

This class contains all attributes of a batch_request. See the comments in BatchRequestBase for design specifics.

This ExpectationSuite object has create, read, update, and delete functionality for its expectations: -create: self.add_expectation()

PandasExecutionEngine instantiates the great_expectations Expectations API as a subclass of a pandas.DataFrame. For the full API reference, please s

A RunIdentifier identifies a run (collection of validations) by run_name and run_time.

This class holds an attribute `spark_df` which is a spark.sql.DataFrame. --ge-feature-maturity-info-- id: validation_engine_pyspark

Raised when validation fails on a field or schema. Validators and custom fields should raise this exception. :param message: An error messag

A ValidationResultIdentifier identifies a validation result by the fully qualified expectation_suite_identifer and run_id.

This class implements most of the functionality of DataContext, with a few exceptions. 1. BaseDataContext does not attempt to keep i

--ge-feature-maturity-info-- id: validation_engine_sqlalchemy title: Validation Engine - SQLAlchemy icon: shor

The UserConfigurableProfiler is used to build an expectation suite from a dataset. The expectations built are strict - they can be used to de

Uses an S3 bucket as a store. The key to this StoreBackend must be a tuple with fixed length based on the filepath_template, or a variab

PandasDataset instantiates the great_expectations Expectations API as a subclass of a pandas.DataFrame. For the full API reference, please see :func

SimpleCheckpointBuilder is a convenience class to easily configure a simple Checkpoint.

A class which represents a SQL alchemy batch, with properties including the construction of the batch itself and several getters used to access va

This profiler creates Expectation Suites from JSONSchema artifacts. JSON Schema is a vocabulary that allows you to annotate and validate JSO

This class is for internal inter-object protocol purposes only. As such, it contains all attributes of a batch_request, but does not validate

This profiler helps build coarse expectations for columns you care about. The goal of this profiler is to expedite the process of authoring

A DataConnector that requires explicit listing of SQL tables you want to connect to. Args: name (str): The name of this DataConnecto

Anonymize string names in an optionally-consistent way.

This is currently helping bridge APIs

A field that (de)serializes to the Python ``decimal.Decimal`` type. It's safe to use when dealing with money values, percentages, ratios or ot

Uses a local filepath as a store. The key to this StoreBackend must be a tuple with fixed length based on the filepath_template, or a variabl

A BatchMarkers is a special type of BatchKwargs (so that it has a batch_fingerprint) but it generally does NOT require specific keys and instead c

Exception raised if a method is not valid for the current scenario.

A SqlAlchemyDatasource will provide data_assets converting batch_kwargs using the following rules: - if the batch_kwargs include a table

--ge-feature-maturity-info-- id: checkpoint title: Newstyle Class-based Checkpoints short_description: Run a configured

CustomListSorter - The CustomListSorter is able to sort partitions values according to a user-provided custom list.

The PandasDatasource produces PandasDataset objects and supports generators capable of interacting with the local filesystem (the default subdir_r

This class holds an attribute `spark_df` which is a spark.sql.DataFrame. --ge-feature-maturity-info-- id: validation_engine_pyspark

The SparkDFDatasource produces SparkDFDatasets and supports generators capable of interacting with local filesystem (the default subdir_reader

Extension of ConfiguredAssetFilePathDataConnector used to connect to Filesystem The ConfiguredAssetFilesystemDataConnector is one of two cla

Expect the Z-scores of a columns values to be less than a given threshold expect_column_values_to_be_of_type is a :func:`column_map_

Extension of InferredAssetFilePathDataConnector used to connect to data on a filesystem. The InferredAssetFilesystemDataConnector is one of

MicrosoftTeamsNotificationAction sends a Microsoft Teams notification to a given webhook. **Configuration** .. code-block:: yaml

Exception raised if a method is not valid for the current scenario.

A ValidationsStore manages Validation Results to ensure they are accessible via a Data Context for review and rendering into Data Docs. --ge

An Expectations Store provides a way to store Expectation Suites accessible to a Data Context. --ge-feature-maturity-info-- id: exp

r"""GlobReaderBatchKwargsGenerator processes files in a directory according to glob patterns to produce batches of data. A more interesting asset

Produce query-style batch_kwargs from sql files or defined queries. By default, a QueryBatchKwargsGenerator will look for queries in the ``da

SiteBuilder builds data documentation for the project defined by a DataContext. A data documentation site consists of HTML pages for expectat