Based on our record, Plotly should be more popular than RAWGraphs. 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.
Go back through a second time Code themes / pull insights/ double check for keywords tag accuracy Use Dovetail’s “charts” to review various tags (it will show you how many tags per word in various chart options, none are great.) Export desired csv’s from Dovetail Charts to free online data viz software like https://rawgraphs.io Boom. I’m sure there are better ways but that’s what I got! Source: about 2 years ago
Sankey is probably the most common name (after Captain Matthew Henry Phineas Riall Sankey who apparently made them to study energy flows in steam engines). But I've also heard it referred to as an alluvial diagram, for example in https://rawgraphs.io/. Source: over 2 years ago
This seems quite similar to RawGraphs: https://rawgraphs.io/ Both seem to provide a similar interface for dragging in a CSV file and constructing a chart, but RawGraphs is open-source, and can be used in the browser without installing anything (or the code can be downloaded and served locally). The main advantage of Daigo over RawGraphs seems to be that it supports publishing multiple charts as a dashboard.... - Source: Hacker News / over 2 years ago
Tools: Excel, Rawgraphs, Affinity Designer. Source: over 2 years ago
Take a look at https://rawgraphs.io/. Source: almost 3 years 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
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.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Google Charts - Interactive charts for browsers and mobile devices.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
CanvasJS - HTML5 JavaScript, jQuery, Angular, React Charts for Data Visualization