
Svelte
Vue.js
React
Next.js
Tailwind CSS
Vite
Preact.js
Angular.io
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Svelte
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, Svelte seems to be a lot more popular than Plotly. While we know about 399 links to Svelte, we've tracked only 34 mentions of Plotly. 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.
Svelte's pitch has always been easy to understand. The official site describes Svelte as a framework that uses a compiler so components do minimal work in the browser. Older Svelte copy made the contrast even sharper: move as much work as possible out of the browser and into the build step. That is a powerful architectural statement because the browser receives code shaped around the application, not a general... - Source: dev.to / 3 months ago
Some of them are good (formerly Richard Harris - Svelte[0]) some of them should stop podcasting. [0]: https://svelte.dev/. - Source: Hacker News / 5 months ago
I've been very impressed, so far, with Datastar[https://data-star.dev], a tiny JavaScript library for front-end work; I've been switching a personal side-project from using Svelte for it's UI to Datastar, and as amazing as Svelte is, Datastar has impressed me more. - Source: dev.to / 6 months ago
The core mapping engine is MapLibre GL JS, a powerful open-source web map library 3. The front-end web framework of choice is Svelte, which MIERUNE has adopted company-wide as its default stack. - Source: dev.to / 9 months ago
I went with SvelteKit to make everything easier for me (feel free to use what works for you to achieve your goal). I also used TailwindCSS' preflight script to reset the default browser styles to make styling super easy. - Source: dev.to / about 1 year 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 / 5 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
Vue.js - Reactive Components for Modern Web 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.
React - A JavaScript library for building user interfaces
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Next.js - A small framework for server-rendered universal JavaScript apps
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.