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Wappalyzer VS Plotly

Compare Wappalyzer VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Wappalyzer logo Wappalyzer

Wappalyzer is a technology profilers and leads data provider. Create lists of websites and contacts that use certain technologies.

Plotly logo Plotly

Low-Code Data Apps
  • Wappalyzer Landing page
    Landing page //
    2019-02-21

Sell and market more effectively with technographic insights. Wappalyzer tracks over a thousand technologies across websites of millions of companies to help you to identify new prospects and increase your addressable market.

  • Plotly Landing page
    Landing page //
    2023-07-31

Wappalyzer features and specs

  • Lead Generation

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Analysis of Wappalyzer

Overall verdict

  • Wappalyzer is widely regarded as a good tool for web developers, digital marketers, and IT professionals. Its ease of use, detailed reports, and ability to quickly identify technologies used by websites make it a valuable resource for those looking to gain insights into web technologies.

Why this product is good

  • Wappalyzer is a tool that helps identify the technology stack of websites by analyzing the software and services they use. It provides insights into the frameworks, libraries, and platforms websites are built on, making it useful for competitive analysis, market research, and understanding technology trends.

Recommended for

  • Web developers who want to analyze the technology stack of other websites.
  • Digital marketers looking to understand the platforms their competitors are using.
  • IT professionals interested in technology trends and market analysis.
  • Businesses seeking to identify potential partners or opportunities based on technology usage.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly 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.

Wappalyzer videos

+ Add

Webmaster Tool Review: Wappalyzer

More videos:

  • Review - wappalyzer Tool Review
  • Review - Wappalyzer | Best Information Gathering Browser Extension? | HackCert

Plotly videos

+ Add

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to Wappalyzer and Plotly)

Wappalyzer

Plotly

Market Research
100 100%
Market Research
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Lead Management
100 100%
Lead Management
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Wappalyzer and Plotly. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Wappalyzer and Plotly

Wappalyzer Reviews

15 Best BuiltWith Alternatives 2022
Data from Wappalyzer is often sourced from browser extensions and in-house crawlers. This only means it has more sample size to track live websites and measure traffic. This method helps you scan pages that crawlers cannot reach such as sections behind a login, checkouts, and shopping carts.
Source: rigorousthemes.com
112 Best Chrome Extensions You Should Try (2021 List)
I once said, โ€œhow someone can create such an outstanding websiteโ€ after seeing a site. I wanted to know the framework they had used. I was curious. I used Wappalyzer, and it revealed their CMS type, marketing tools, analytics, CDN, and payment processors. In short, Wappalyzer helps you find out the web technologies used on websites.
Source: www.einsstark.tech

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library thatโ€™s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly should be more popular than Wappalyzer. 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.

Wappalyzer mentions (4)

  • What language or libraries is this website built with?
    I want to replicate something like this. I've tried https://whatcms.org https://bundlescanner.com https://builtwith.com https://wappalyzer.com to learn. It looks like Jquery Ui to me. Can someone help me please? Source: about 3 years ago
  • Someone can tell what site the owner used to make this site pls? I put some photos of the website, there are no writings down like shopify or something else
    You can use https://wappalyzer.com to check what technology the website use. Source: over 3 years ago
  • Portfolio Ideas - An open-source repository for inspiration
    The next and final thing to add is the tech stack of the portfolio website. You can use wappalyzer, or any other service you know to detect the stack. - Source: dev.to / about 4 years ago
  • Adnetwork trouble
    For the prospecting, I've been playing around with it for a few days but it can definitely improve. Im targeting about 40-70k monthly visitors and for reaching them I use wappalyzer.com and target adsense users with mid level traffic according to them + I use sales nav to scrape the leads of people who have travel writer or food writer on their linkedin bio but the down side of that is you cant tell how big they are. Source: almost 5 years ago

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    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
  • Python for Data Visualization: Best Tools and Practices
    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
  • Generative AI Powered QnA & Visualization Chatbot
    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
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    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
  • Essential Deep Learning Checklist: Best Practices Unveiled
    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
View more

What are some alternatives?

When comparing Wappalyzer and Plotly, you can also consider the following products

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.

WhatRuns - Extension that helps you identify technologies used on any website at the click of a button.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Similar Tech - SimilarTech offers a Sales Insights platform which helps companies uncover their ideal market by crawling the sourcecode of over 300M sites.

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.

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