Package to export html table to csv file
Easily create CSV data from json collection
Convenient parsing for Fetch.
Advanced Data Grid / Data Table supporting Javascript / Typescript / React / Angular / Vue
Fast and powerful CSV parser for the browser that supports web workers and streaming large files. Converts CSV to JSON and JSON to CSV.
Allure CSV report
AG Grid Styles and Themes
fast-csv formatting module
A parser and formatter for delimiter-separated values, such as CSV and TSV
fast-csv parsing package
CSV parser and writer
CSV parsing implementing the Node.js `stream.Transform` API
Download your JSON data as an CSV file directly from the browser
WooCommerce utility library to convert data to CSV files.
CSV stringifier implementing the Node.js `stream.Transform` API
Pure Javascript JSON to CSV converter.
Easily generate csv downloads of your json data.
Streaming CSV parser that aims for maximum speed as well as compatibility with the csv-spectrum test suite
JavaScript/Node.js Csv to Markdown Table Converter
Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware encoding of JSON for LLM prompts
The 'TANSTACK REACT TABLE EXPORT TO CSV' is a lightweight and user-friendly package for exporting tanstack react tables to CSV format
Convert objects/arrays into a CSV string or write them into a CSV file
Provides exporting support for @angular/material tables
A robust, strictly-typed Node.js and Browser library for parsing office files (.docx, .pptx, .xlsx, .odt, .odp, .ods, .pdf, .rtf, .csv, .md, .html) and generating high-fidelity outputs in Markdown, HTML, CSV, RTF, and RAG-focused chunks.
A Rails gem for exporting HTML tables to CSV files with a view helper and vanilla JavaScript
Format data as terminal tables with Unicode, ASCII, Markdown, or compact styles. Build from arrays, hashes, or CSV. Export to CSV and HTML. Sort, filter, and add rows incrementally, with column alignment, auto-sizing, truncation, and ANSI color-safe width calculation.
== FEATURES: * Input your data as an array of hashes * Input a report layout, built using a Ruby DSL * Outputs ASCII pivot tables suitable for fast reports * Pretty fast: takes less than a second to process 1,000 records of data by a report with 100 rows and 10 columns. == SYNOPSIS: require 'rubygems' require 'crosstab' data = [{:gender => "M", :age => 1}, {:gender => "F", :age => 2}, {:gender => "M", :age => 3}] my_crosstab = crosstab data do table do title "Q.A Age:" group "18 - 54" do row "18 - 34", :age => 1 row "35 - 54", :age => 2 end row "55 or older", :age => 3 end banner do column "Total" group "Gender" do column "Male", :gender => "M" column "Female", :gender => "F" end end end puts my_crosstab.to_s # => ... Table 1 Q.A Age: Gender ---------------- Total Male Female (A) (B) (C) ------- ------- ------- (BASE) 3 2 1 18 - 54 2 1 1 ----------------------------- 67% 50% 100% 18 - 34 1 1 -- 33% 50% 35 - 54 1 -- 1 33% 100% 55 or older 1 1 -- 33% 50% == JUST THE BEGINNING: * I hope to add in later releases: * New export formats: html, pdf, csv, excel. * More stats than just frequency and percentage: mean, median, std. deviation, std. error, and significance testing * Optional row and table suppression for low frequencies * Optional table rows populating from the data * Optional table ranking -- automatically reorder rows based in descending order based on frequencies observed == REQUIREMENTS: * None
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