This library can profile datasets for use with Auctus, NYU's dataset search engine. You can use it to profile datasets on your side and send that to the server for search, instead of uploading the whole dataset. It is also used internally by the service to process search-by-example queries (when sending a file to the /search endpoint) and to add datasets to the index (to be queried against later).
See also:
The datamart-rest library for search/augmentation <https://pypi.org/project/datamart-rest/>__The datamart-materialize library, used to materialize dataset from search results <https://pypi.org/project/datamart-materialize/>__The datamart-augmentation library, used to performs data augmentation with a dataset from Auctus <https://pypi.org/project/datamart-augmentation/>__Auctus, NYU's dataset search engine <https://auctus.vida-nyu.org/>__Our project on GitLab <https://gitlab.com/ViDA-NYU/auctus/auctus>__FAQs
Data profiling library for Auctus
We found that datamart-profiler demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 5 open source maintainers collaborating on the project.
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