Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Botify
Topvisor
Moz
Nibbler
CitationLabs
CanIRank
Detailed.com
Seed Keywords
Plotly
BotifyPlotly 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.
Botify is particularly recommended for large enterprises and advanced SEO professionals who manage complex websites and need detailed insights into their SEO performance. It may also be beneficial for digital marketing agencies that require powerful tools to serve multiple clients.
Based on our record, Plotly seems to be a lot more popular than Botify. While we know about 34 links to Plotly, we've tracked only 1 mention of Botify. 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 / 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
Then I figured out that there are tools for that like oncrawl , botify , etc. That makes it much easier! But after I've tried jetoctopus it completely changed my approach to on-page optimization, technical SEO in general, and Log file analysis in particular. It's easy to use, there are huge amounts of data overlapping and really insightful and clear visualization. It's complex and integrates with GSC and works... Source: almost 5 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.
Topvisor - All in one SEO and PPC tools for better marketing.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Moz - Backed by industry-leading data and the largest community of SEOs on the planet, Moz builds tools that make inbound marketing easy.
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.
Nibbler - Free tool for testing how good your website is, and what you can do to improve it. Check accessibility, SEO, social media, compliance and more.