What is this Python project?
pandas-profiling generates profile reports from a pandas DataFrame.
The reports are like a richer version of DataFrame.describe with a lot of information that any data scientist is looking for: distribution description, missing values, type inference, zero, high correlation, skewness, etc.
The reports can be generated in PDF or HTML. They contain alerts that give a clear information on the issues with a given dataset.
The library can also generate comparison reports between two datasets, so it can be used to compare two versions of the same dataset, or some new data once a model is in production (sort of model monitoring but for data).
It is well maintained with active development, has 10k stars on GitHub and it is used by many companies, including large ones.
What's the difference between this Python project and similar ones?
As far as I know, there is no alternative library.
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