Fast, lightweight access to Apache Arrow data.
Zero-copy reading of Arrow data from WebAssembly
A high-performance data table component library for SQLRooms applications. This package provides flexible and feature-rich table components for displaying and interacting with large datasets, with special support for Apache Arrow data structures.
A Fastify plugin for sending and receiving Apache Arrow data
Compile ES2015 arrow functions to ES5
This is an internal utility, not intended for public usage.
Apache Arrow columnar in-memory format
Prefer arrow functions in most cases
Advanced utilities for working with Arrow data and Flight protocol in FlightStream for Node.js
Boxes for use in the terminal
Runs prettier as an eslint rule
Apache Arrow columnar in-memory format
Types for Iconify data
Convert functions to arrow functions
Determine if a function is an ES6 arrow function or not.
WebAssembly Parquet reader and writer.
autofix some errors reported by eslint rules.
Enforce arrow function return style and automatically fix it
Adds arrow-function support
ESLint rules to ensure proper arrow function definitions
Flowtype linting rules for ESLint.
Apache Arrow columnar in-memory format
Simple columnar table loader for the Apache Arrow format
BoilStream SSE consumer SDK — real-time Arrow data streaming for browsers and Node.js
Red Arrow Numo::NArray adds `Arrow::Tensor#to_narray` and `#to_arrow`/`#to_arrow_array` to `Numo::NArray`'s numerical subclasses such as `Numo::Int8`. `Arrow::Tensor#to_narray` returns a `Numo::NArray`'s numerical subclass such as `Numo::Int8`. `#to_arrow` returns a `Arrow::Tensor`. `#to_arrow_array` returns an `Arrow::Array` instance if the original object is an 1 dimensional array.
Red Arrow NMatrix adds `Arrow::Tensor#to_nmatrix` for Apache Arrow to NMatrix conversion. Red Arrow NMatrix adds `NMatrix#to_arrow` for NMatrix to Apache Arrow conversion.
Red Arrow GSL adds `Arrow::*Array#to_gsl`/`Arrow::Tensor#to_gsl` for Apache Arrow to GSL conversion. Red Arrow GSL adds `GSL::Vector#to_arrow`/`GSL::Vector::Int#to_arrow`/`GSL::Matrix::*#to_arrow` for GSL to Apache Arrow conversion.
Apache Arrow、Red Arrow、Red Data Toolsという観点からRubyにおけるデータ処理の現状を説明します。
Apache Arrow is the future for data processing systems. This talk describes how to solve data sharing overhead in data processing system such as Spark and PySpark. This talk also describes how to accelerate computation against your large data by Apache Arrow.
I introduced Ruby and Apache Arrow integration including the "super fast large data interchange and processing" Apache Arrow feature at RubyKaigi Takeout 2021. This talk introduces how we can use the "super fast large data interchange and processing" Apache Arrow feature in Ruby. Here are some use cases: * Fast data retrieval (fast (({pluck}))) from DB such as MySQL and PostgreSQL for batch processes in a Ruby on Rails application * Fast data interchange with JavaScript for dynamic visualization in a Ruby on Rails application * Fast OLAP with in-process DB such as DuckDB and Apache Arrow DataFusion in a Ruby on Rails application or irb session
Red Arrow GDK Pixbuf adds `Arrow::Tensor#to_pixbuf` and `GdkPixbuf::Pixbuf#to_arrow`. `Arrow::Tensor#to_pixbuf` returns a `GdkPixbuf::Pixbuf`. `GdkPixbuf::Pixbuf#to_arrow` returns a `Arrow::Tensor`.
Apache Arrow is a common in-memory columnar data store. It's useful to share and process large data efficiently.
Apache Arrow is a cross-language development platform for in-memory data. You can use Apache Arrow to process large data effectively in Python and other languages such as R. Apache Arrow is the future of data processing. Apache Arrow 1.0, the first major version, was released at 2020-07-24. It's a good time to know Apache Arrow and start using it.
Gandiva is a toolset for compiling and evaluating expressions on Arrow data.
ADBC (Apache Arrow Database Connectivity) is an API standard for database access libraries that uses Apache Arrow for data.
Red Datasets Arrow adds `#to_arrow` method to each dataset in Red Datasets. You can get dataset as `Arrow::Table` object. `Arrow::Table` is provided by [Red Arrow](http://github.com/red-data-tools/red-arrow).
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