Recharts
Chart.js
D3.js
Highcharts
ApexCharts
Chartist.js
AnyChart
Google Charts
Plotly
D3.js
Chart.js
Highcharts
Google Charts
RAWGraphs
Tableau
Microsoft Power BI
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Based on our record, Plotly should be more popular than Recharts. It has been mentiond 29 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
We first build the dashboard page where we present stats for relevant KPIs in cards, charts and a table. We use the React-based Recharts library for plotting our data. - Source: dev.to / 6 months ago
For the charts a heavily customized version of recharts (https://recharts.org/) and for the globe threejs (https://threejs.org). - Source: Hacker News / 8 months ago
Recharts is another React charting library that simplifies creating charts by providing a wide range of chart components out of the box. It is built on top of D3.js but abstracts away the complexities, making it easier for React developers to create interactive and visually appealing charts and graphs. Recharts leverage the power of SVG (Scalable Vector Graphics) for rendering, allowing charts to be scalable and... - Source: dev.to / 9 months ago
Recharts is a charting library that allows you to create attractive and informative data visualizations. - Source: dev.to / about 1 year ago
This is the last integration of this article, and maybe the most fun! A dashboard cannot be considered complete unless we show a chart or diagram to visually display information. For this part of the demo, we’ll use mui for the components and recharts for the graphs. - Source: dev.to / about 1 year ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 5 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: 11 months ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 12 months ago
I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago
Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago
Chart.js - Easy, object oriented client side graphs for designers and developers.
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
ApexCharts - Open-source modern charting library 📊
Google Charts - Interactive charts for browsers and mobile devices.
Chartist.js - Chartist.JS - simple responsive charts.
