Foundation
Bootstrap
Materialize CSS
Semantic UI
UIKit
Tailwind CSS
Bulma
Material UI
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Foundation
PlotlyPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
Based on our record, Plotly should be more popular than Foundation. It has been mentiond 34 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 - The most advanced responsive front-end framework. - Source: dev.to / 5 months ago
Foundation is a mobile-first responsive front-end framework that provides a range of CSS and JavaScript components for creating websites quickly. Itโs often seen as a competitor to Bootstrap, offering more flexibility and customization options. - Source: dev.to / over 1 year ago
Foundation: An easy-to-use, powerful, and flexible front-end framework for building web applications on any device. - Source: dev.to / over 1 year ago
Here is a thought you might want to consider and see if it makes sense. This is personal, but I also believe this is where design codes (especially CSS) are going to go. It is not going to be Tailwind or more new frameworks. Honestly, I think all of these Bootstrap, Foundation, and Tailwind, etc. Are like middle-layer abstractions are for designs that are neither small nor large. Bootstrap won because of the... - Source: Hacker News / almost 2 years ago
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 years ago
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 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
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Semantic UI - A UI Component library implemented using a set of specifications designed around natural language
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.