Based on our record, Bulma should be more popular than Plotly. It has been mentiond 115 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.
Thanks! Much credit goes to the Bulma[1] css framework, I guess. I am mostly a backend dev. I've just used bulma for the most part and tried to avoid anything fancy. [1]: https://bulma.io/. - Source: Hacker News / about 1 month ago
Bulma: Bulma is a modern, open-source CSS framework based on Flexbox. It’s easy to use, responsive, and highly customizable. - Source: dev.to / 8 months ago
For now, we can delegate layout concerns to frameworks like Bootstrap or Bulma, and focus more on management aspects. - Source: dev.to / 9 months ago
9. Bulma A modern CSS framework that is fully responsive and allows for rapid design without the complexity of JavaScript. Bulma:. - Source: dev.to / 8 months ago
Bulma Bulma is a modern CSS framework based on Flexbox. It is designed for simplicity and ease of use, offering a range of responsive components and a modular architecture. - Source: dev.to / 9 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 / about 1 month 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 / 3 months 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 / 5 months 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 / 11 months ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.
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
Chart.js - Easy, object oriented client side graphs for designers and developers.
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...