
v0.dev
Lovable
bolt.new
replit
Cursor
BASE44
Bubble.io
GitHub Copilot
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
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.
v0.dev might be a bit more popular than Plotly. We know about 48 links to it since March 2021 and only 34 links to 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.
Instead of the model returning a text summary of quarterly revenue, it generates a live, interactive chart with drill-down capability, customized to the user's role and the specific comparison they requested. The UI is no longer pre-designed. It is synthesized on demand from the intent. Vercel v0 is the clearest production example: you describe a component and receive a working, styled, interactive React component... - Source: dev.to / 3 months ago
One of our clients for the React CRM template told me in a meeting that why donโt we should make a simple AI chat input that takes my prompts and makes changes in the existing template? And thatโs why I add v0.dev and lovable.dev link for this React CRM template, helping our users to purchase and customise using the AI website builder. - Source: dev.to / 7 months ago
In 2025, I will always choose v0.dev or Google Stitch to generate AI-based web apps and web designs. This helps me to bring imagination into reality. - Source: dev.to / 8 months ago
Head over to v0.dev and create a new project. The key to getting good results from v0 is writing detailed prompts that describe exactly what you want. - Source: dev.to / 8 months ago
The rise of tools like GitHub Copilot, V0.dev, and conversational coding assistants show us one thing: frontend development is moving towards a chat-first experience. - Source: dev.to / 10 months 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
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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.
bolt.new - Prompt, run, edit, and deploy full-stack web apps
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages โ without spending a second on setup.
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.