Based on our record, Font Awesome should be more popular than Plotly. It has been mentiond 127 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.
The I element is the icon of the button, I'm using fontawesome.com for the icon, the class fa-apple retrives Apple icon for us. - Source: dev.to / 2 months ago
Icons: Fontawesome Development: HTML, SCSS, JavaScript Deployment: Github + Netlify. - Source: dev.to / 3 months ago
For generic icons (i.e. You just need a d6 and not a system-specific d6 option), Foundry has Font Awesome which are easy to search, then copy and insert, and always look good inline. Source: 5 months ago
The following is an example of defining Font Awesome:. - Source: dev.to / 5 months ago
Of course, we have many different ways of solving this problem. Some of the most common include pre-existing third-party icon libraries (such as Font Awesome), icons bundled into a third-party component library (like the Kendo UI Icons), or a completely custom set of icons designed and maintained by your design team. Obviously, going 100% custom will require more work (on both the design and dev side), but might... - Source: dev.to / 6 months 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: 12 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: about 1 year 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
Google Fonts - Making the web more beautiful, fast, and open through great typography
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.
Flaticon - A database of free vector icons.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Icons8 - Free app for Mac & Windows already containing 39,800 icons. Allows to search and import icons…
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application