
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Purecss
Bootstrap
Tailwind CSS
Materialize CSS
Foundation
Bulma
UIKit
Semantic UI
Plotly
PurecssPlotly 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 Purecss. 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.
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
Purecss - A set of small, responsive CSS modules. - Source: dev.to / 5 months ago
Neat lacks a header and navigation; this by design, and may be enough for simple sites. If you want more capability, Pure.css is good to try too https://purecss.io/. - Source: Hacker News / almost 2 years ago
I found Pure.css and it looks nice but maybe there is something better? Source: about 3 years ago
Some examples: - https://simplecss.org/ - https://purecss.io/ (I've used this one for over a decade and works great). Source: over 3 years ago
Now, to test our CSP, we just have to load some external resources. Let's bring on Pure.css and Lodash. Update index.ejs to look like this :. - Source: dev.to / about 4 years 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.
Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.
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.
Materialize CSS - A modern responsive front-end framework based on Material Design