Simple csv file reader
Production-ready CSV ingest engine for Node.js: parsing, header mapping, validation, normalization, deduplication, and optional streaming ingest.
CSV parser and writer
fast-csv formatting module
fast-csv parsing package
CSV parsing implementing the Node.js `stream.Transform` API
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.
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.
Convert csv files from different sources, like banks to YNAB ( youneedabudget.com ) ready csv files
Convenient parsing for Fetch.
TypeScript definitions for react-csv
Convert objects/arrays into a CSV string or write them into a CSV file
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
A tool concentrating on converting csv data to JSON with customised parser supporting
Build CSV files on the fly basing on Array/literal object of data
Fast CSV parser
A CSV stream reader, with many many features, and ability to work with the largest datasets
A parser and formatter for delimiter-separated values, such as CSV and TSV
SmarterCSV is a high-performance CSV reader and writer for Ruby focused on fastest end-to-end ingestion — not just parsing. It returns ready-to-use hashes with configurable header and value transformations, intelligent defaults, and automatic delimiter discovery. Built for real-world data pipelines, SmarterCSV supports chunked processing for large files, streaming via Enumerable APIs, and C acceleration to optimize the full ingestion path (parsing + hash construction + conversions). Designed to handle messy user-uploaded CSV while remaining easy to integrate with Rails, ActiveRecord imports, Sidekiq jobs, parallel processing, and S3-based workflows.
Report Card mounts in your Rails app to allow your user to generate CSVs from a list of available reports. CSVs are generated in the background, uploaded to your store via CarrierWave, and emailed to the requester when ready.
A multi-dimensional semantic layer on top of ActiveRecord that allows running pivot table queries and rendering them as CSV, HTML, or KickChart-ready hashes. Supports time dimensions, cohort analysis, custom rollups, and drilling through to the underlying ActiveRecord objects.
Mount SolidQueueWeb in any Rails app using Solid Queue to get a full-featured job dashboard: inspect jobs by status (ready, scheduled, running, blocked, failed), retry or discard failed jobs, reschedule or run scheduled jobs immediately, manage recurring tasks, filter by queue/priority/period, export to CSV, detect slow jobs, view queue depth sparklines, track job performance (p50/p95), and scrape a /metrics JSON endpoint for external monitoring — all without leaving your app.
SolidStackWeb is a mountable Rails engine that provides a production-ready operations dashboard for the full Solid Stack. It covers Solid Queue (job browser, failed job retry with inline argument editing, queue pause/resume, recurring tasks, performance stats, CSV export, and alert webhooks), Solid Cache (entry browser, size distribution, 24-hour write timeline, and optional value preview), and Solid Cable (channel browser, per-channel message list, and purge controls). Ships with dark mode, Turbo Stream responses, a JSON metrics endpoint, and no asset pipeline dependency.
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