Chart a comma separated list of numbers on a line-graph that can be viewed in a web browser
A drop-in log viewer UI for Node.js/Express apps with search, filter, date range, chart, CSV export and .env-based authentication
Drop-in log viewer UI and dashboard for Node.js, Express, and NestJS — search, filter, date-range queries, time-series chart, CSV export, JWT auth, and pluggable memory/file storage for Winston/Pino-style JSON logs.
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
Highly customizable org chart, created with d3
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.
Convenient parsing for Fetch.
TypeScript definitions for react-csv
Object transformations implementing the Node.js `stream.Transform` API
Convert objects/arrays into a CSV string or write them into a CSV file
Easily create CSV data from json collection
A tool concentrating on converting csv data to JSON with customised parser supporting
Advanced Data Grid / Data Table supporting Javascript / Typescript / React / Angular / Vue
Build CSV files on the fly basing on Array/literal object of data
Fast CSV parser
Feature-rich chart control with built-in support for over 25 chart types, technical indictors, trendline, zooming, tooltip, selection, crosshair and trackball.
Generate publication-ready pie, bar, and line charts from data files
yahoo_stock_splits retrieves stock splits from Yahoo! Finance. Split information is not available via CSV download, so this gem scraps the basic chart page of the desired stock. It returns an array of arrays that contain the date, post split shares, and pre split shares, in that order.
Ruby Scientist and Graphics is a practical data science toolkit for Ruby. It includes a lightweight built-in DataFrame for loading, cleaning, and transforming data; quick descriptive statistics and correlations; charting via Gruff (bar and line); and simple ML utilities (linear regression and k-means)—all behind a small, unified, pandas-inspired API. Key features: - Load data from CSV and JSON. - Clean and transform (remove/add columns, handle missing values, limit rows). - Describe datasets and compute correlations quickly. - Create bar and line charts with customization options. - Train/predict with linear regression; cluster with k-means. - Save/load project state (data + trained model) and run simple pipelines. - Optional backend adapters (e.g., Rover) while keeping the same API. Ideal for analysts and developers who want to explore data in Ruby without relying on Python or R. Note: plotting via Gruff uses rmagick, which requires ImageMagick installed on the system.
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