react component for bar chart
Feature-rich chart control with built-in support for over 25 chart types, technical indictors, trendline, zooming, tooltip, selection, crosshair and trackball.
A charting library in pure javascript.
The most complete library for Bar, Line, Area, Pie, Donut, Stacked Bar, Population Pyramid, Radar, Bubble and SCatter charts in React Native. Allows 2D, 3D, gradient, animations and live data updates.
Simple and lightweight Vue chart svg component without chart library dependencies
Chart.js module for charting error bars
A JavaScript Chart Library
Chart.js module for charting funnel charts
Feature-rich chart control with built-in support for over 25 chart types, technical indictors, trendline, zooming, tooltip, selection, crosshair and trackball. for Angular
Kendo UI Charts for Angular - A comprehensive package for creating beautiful and interactive data visualization. Every chart type, stock charts, and sparklines are included.
React horizontal stacked bar responsive chart component
JupyterLab - Vega 5 and Vega-Lite 5 Mime Renderer Extension
Feature-rich chart control with built-in support for over 25 chart types, technical indictors, trendline, zooming, tooltip, selection, crosshair and trackball. for React
React.js wrapper for ApexCharts with SSR support
This packages contains different TypeScript types and JSON schemas for Luzmo dashboard contents.
This plugin for Chart.js that makes your bar chart to 100% stacked bar chart
Bar chart supernova
easy to use progress-bar for command-line/terminal applications
Create beautiful charts with one line of JavaScript
Create beautiful JavaScript charts with one line of Vue
Lightweight but versatile SVG pie/donut charts for React
hpcc-js - Viz Chart
Removes body scroll without content _shake_
A ESLint formatter to summarize errors by rules and files using bar charts
A quick and easy benchmarking library for Ruby. Useful for benchmarking only part of an iteration, and accumulating the data to report later in the code.
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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