InMemoryDatasets.jl is a multithreaded package for data manipulation and is designed for Julia 1.6+ (64-bit OS). The core computation engine of the package is a set of customized algorithms developed specifically for columnar tables.

Features

  • Memory efficiency
  • Low compilation time
  • Unique approach for reshaping data
  • High performance
  • Powerful row-wise operations
  • By default, formatted values are used for operations like: displaying, sorting, grouping, joining,...
  • Formats don't change the actual values
  • Multi-threading across the whole package

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow InMemoryDatasets.jl

InMemoryDatasets.jl Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of InMemoryDatasets.jl!

Additional Project Details

Programming Language

Julia

Related Categories

Julia Data Visualization Software

Registered

2023-11-30