Fast CSV parser that can batch events, reduce on rows, and no dependencies
Command-line interface for the burnmark label design engine — render, print, validate, CSV batch, sheet export
Headless label design engine — document model, render pipeline, multi-colour flattening, templates, CSV batch
This is a library for reading CSV files in batch.
CSV parser and writer
fast-csv formatting module
CSV parsing implementing the Node.js `stream.Transform` API
fast-csv parsing package
A set of utils for faster development of GraphQL tools
CSV stringifier implementing the Node.js `stream.Transform` API
Streaming CSV parser that aims for maximum speed as well as compatibility with the csv-spectrum test suite
A mature CSV toolset with simple api, full of options and tested against large datasets.
Simple async batch with concurrency control and progress reporting.
CSV and object generation implementing the Node.js `stream.Readable` API
A JSON to CSV and CSV to JSON converter that natively supports sub-documents and auto-generates the CSV heading.
Fast and powerful CSV parser for the browser that supports web workers and streaming large files. Converts CSV to JSON and JSON to CSV.
Convenient parsing for Fetch.
Convert objects/arrays into a CSV string or write them into a CSV file
TypeScript definitions for react-csv
Object transformations implementing the Node.js `stream.Transform` API
Easily create CSV data from json collection
Advanced Data Grid / Data Table supporting Javascript / Typescript / React / Angular / Vue
Batch processing in JS
A tool concentrating on converting csv data to JSON with customised parser supporting
RStore makes batch processing of csv files a breeze. Automatically fetches data files, directories, URLs :: Customizable using additional options :: Validation of field values :: Descriptive error messages :: Safe and transparent data storage using database transactions
Antz helps you safely import CSV data into ActiveRecord models, with field mapping, batch processing, and dependency-aware execution order.
Importance is a Rails engine that allows users to upload Excel and CSV files and interactively map columns to model attributes. It handles files with arbitrary headers by letting users select which columns to import and which to ignore, with support for flexible attribute mapping, batch processing, error handling, and customizable import workflows.
A Rails Engine wrapping SmarterCSV for CSV importing with three-tier AI header matching (lookup + vector similarity + LLM fallback), batch processing, and import tracking. Only headers are sent to AI — row data never leaves your application.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.