Difference between DASK dd.DataFrame and dd.core.Dataframe

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I use dask in my project and recently ran into a weird problem - I need differentiate between dask and pandas dataframes in some places so I use the following if

    import dask.dataframe as dd    
    if isinstance(df, dd.DataFrame):
       #some specific code

but it doesn't always work. I investigated the case and turned out the real type of df is dd.core.DataFrame. What's then the difference between them two? Why are they interchangeable in many cases? And how correctly to check the type of dask dataframe?

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