PublicWWW
BuiltWith
Wappalyzer
WhatRuns
Similar Tech
searchcode
Fork.ai
DataFragment
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
PublicWWW
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.
No PublicWWW videos yet. You could help us improve this page by suggesting one.
Based on our record, Plotly should be more popular than PublicWWW. 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.
Https://publicwww.com/ is a great tool for this, though the size of its index leaves a lot to be desired. Still, for enumerating well-SEO'd homepages that use a certain tech stack, it's quite useful! - Source: Hacker News / almost 3 years ago
You can also use the PublicWWW service. It helps you to find snippets and key words in the HTML, JS, and CSS webpage code. For instance, fbevents. js query will show you a large number of websites containing a Facebook pixel. This list can be useful for obtaining necessary cookies. Source: over 3 years ago
- Brave (recently started its own index but often falls back on Google's) Love to see projects like Marginalia and now this. These projects also make meta search engines like Searx[0] that much more powerful. Anyways since I'm in the business of listing out relevant projects, other code-centered search engines you might wanna check out are searchcode.com[1], codesearch.ai[2], symbolhound[3], and publicwww.com[4]... - Source: Hacker News / over 3 years ago
Or https://publicwww.com which has a free option. Source: over 3 years ago
Https://publicwww.com/ - search by website source code. Source: over 4 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
BuiltWith - Find out the technology behind websites
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.
Wappalyzer - Wappalyzer is a technology profilers and leads data provider. Create lists of websites and contacts that use certain technologies.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
WhatRuns - Extension that helps you identify technologies used on any website at the click of a button.
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.