IndexedTables provides tabular data structures where some of the columns form a sorted index. It provides the backend to JuliaDB, but can be used on its own for efficient in-memory data processing and analytics.

Features

  • Both types store data in columns
  • IndexedTable and NDSparse differ mainly in how data is accessed
  • Both types have equal performance for Table operations (select, filter, etc.)
  • Data is accessed as an N-dimensional sparse array with arbitrary indexes
  • Data is accessed as a Vector of NamedTuples
  • Documentation available

Project Samples

IndexedTables.jl Screenshot 1

Project Activity

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Categories

Data Visualization

License

MIT License

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IndexedTables.jl Web Site

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Additional Project Details

Programming Language

Julia

Related Categories

Julia Data Visualization Software

Registered

2023-12-01
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