All available pipeline elements in damast

from damast.core.dataprocessing import PipelineElement

print(PipelineElement.generate_subclass_documentation())

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DataProcessingPipeline -- from damast.core.dataprocessing

    A data-processing pipeline for a sequence of transformers

    :param name: Name of the pipeline
    :param base_dir: Base directory towards which transformer output which be relative
    :param steps: Steps that form the basis for this pipeline
    :param inplace_transformation: If true, the input :class:`damast.core.dataframe.AnnotatedDataFrame` is not
        copied when calling :func:`transform`. Else input data-frame is untouched
    :param name_mappings: Name mappings that should be applied to individual transformations.
    :param trackers: Observers of what each step does to the data, see
        :class:`damast.core.tracking.PipelineElementTracker`. What they report ends up in
        :func:`processing_stats`. Defaults to a :class:`damast.core.tracking.TimingTracker` and a
        :class:`damast.core.tracking.RowCountTracker`; pass a list to add to or replace those, e.g.
        a :class:`damast.core.tracking.KeyTracker` to also count distinct entities. An empty list
        collects nothing.

    :raises ValueError: If any of the transformer names are `None`
    :raises AttributeError: If the transformer is missing the :func:`transform` function
    :raises AttributeError: If transformer is missing input or output decoration
    :raises RuntimeError: If the sequence of transformers does not satisfy the sequential requirements
    
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DataSource -- from damast.core.processing_graph

    PipelineElement that marks a datasource, e.g.,
    an annotated dataframe that needs to be processed