Based on our record, Plotly should be more popular than Foundation. 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.
Foundation is another popular open-source front-end framework, similar to Bootstrap, but with its own set of features and design principles. It was created by ZURB a design and development company in 2011. And is also maintained by a community of developers. - Source: dev.to / about 2 months ago
Are you cool with JS frameworks? If so, you can use a higher level of abstraction that takes care of the CSS for you. If you just want to mock something up, you can use a pre-built UI system / component framework and just put together UIs declaratively, without having to worry about the underlying CSS or HTML at all. Examples include https://mui.com/ and https://chakra-ui.com/ and https://ant.design/ Really easy... - Source: Hacker News / 7 months ago
Just when we thought we'd seen it all, giants like Twitter Bootstrap, Foundation, and Bulma entered the scene. They made development quick and ensured consistent styling, but the flip side? Websites began feeling a bit too...uniform. - Source: dev.to / 9 months ago
Foundation is also easy to use since no one has mentioned it. Copy and paste, tons of templates ready to go. https://get.foundation/. Source: about 1 year ago
Download the source files manually: You can download the source files by visiting https://get.foundation and clicking on "Download Foundation 6", which automatically downloads the CSS and JavaScript. Once you extract the Zip file, you can start creating excellent projects with Foundation. - Source: dev.to / over 1 year ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 6 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: about 1 year 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 / almost 2 years ago
Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions
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.
Materialize CSS - A modern responsive front-end framework based on Material Design
Chart.js - Easy, object oriented client side graphs for designers and developers.
Semantic UI - A UI Component library implemented using a set of specifications designed around natural language
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application