@datashaper/tables
Advanced tools
This package contains a number of data processing functions and utilities for working with tables. This includes importing/parsing, applying codebooks, computing column statistics, etc. The core internal transport format used for tables within DataShaper is Arquero. Importantly, our file readers align with Python/pandas to ensure we have processing parity for client and server implementations of our pipelines.
FAQs
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We found that @datashaper/tables demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
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