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WebPagetest VS Plotly

Compare WebPagetest VS Plotly and see what are their differences

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incident management, error monitoring, alerting, on-call, devops, developer tools, webhooks, mobile featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

WebPagetest logo WebPagetest

Run a free website speed test from multiple locations around the globe using real browsers...

Plotly logo Plotly

Low-Code Data Apps
  • WebPagetest Landing page
    Landing page //
    2023-07-05
  • Plotly Landing page
    Landing page //
    2023-07-31

WebPagetest features and specs

  • Detailed Performance Metrics
    WebPagetest provides extensive performance metrics, including Time to First Byte (TTFB), Speed Index, and First Contentful Paint, allowing for a deep understanding of website performance.
  • Real Browsers
    Tests are conducted using real browsers, which ensures that the results are closely aligned with real user experiences.
  • Geolocation Testing
    Supports testing from various locations worldwide, which is useful for understanding performance in different markets.
  • Advanced Testing Options
    Offers advanced options such as scripting for complex interactions, multi-step transactions, and authenticating users.
  • Free and Open Source
    WebPagetest is free to use and its code is open-source, allowing for community contributions and customizable implementations.
  • Video Capture
    Provides video capture of the loading process, giving a visual representation of loading performance.
  • Waterfall Charts
    Generates detailed waterfall charts that help identify bottlenecks in resource loading.

Possible disadvantages of WebPagetest

  • Complexity for Beginners
    The extensive options and detailed metrics may be overwhelming for beginners who are not familiar with web performance testing.
  • Intermittent Performance
    As a free service, sometimes the performance can be inconsistent due to high demand or limited resources.
  • Dated Interface
    The user interface of the website is somewhat dated and could benefit from modernization to improve user experience.
  • Limited Instant Support
    Lack of immediate support options can be a downside; users often have to rely on forums and community support.
  • Potential for Inconsistent Results
    Results might vary between tests due to variability in internet speed, server conditions, and other external factors.
  • Configuration Overhead
    Advanced testing options require a significant amount of configuration, which can be time-consuming.

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 WebPagetest

Overall verdict

  • Yes, WebPagetest is considered a good tool for evaluating website performance. It is widely used by developers and performance engineers for its accuracy and the depth of information it provides.

Why this product is good

  • WebPagetest is highly regarded for its detailed performance analysis capabilities, offering in-depth insights into page speed and other performance metrics. It allows users to run tests from multiple locations, on various devices and browsers, which is crucial for assessing a website's performance under different conditions. The tool provides a comprehensive waterfall chart and numerous other diagnostic features that help identify performance bottlenecks and potential optimization areas.

Recommended for

    WebPagetest is recommended for web developers, performance engineers, SEO specialists, and anyone interested in optimizing website speed and performance. It is especially useful for those who need detailed insights into page load processes and performance optimization opportunities.

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.

WebPagetest videos

+ Add

WebPageTest - The State of the Web

More videos:

  • Tutorial - How To Use WebPageTest.org - For Beginners

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 WebPagetest and Plotly)

WebPagetest

Plotly

Website Monitoring
100 100%
Website Monitoring
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Performance Monitoring
100 100%
Performance Monitoring
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

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Reviews

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

WebPagetest Reviews

We have no reviews of WebPagetest yet.
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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, WebPagetest should be more popular than Plotly. It has been mentiond 51 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.

WebPagetest mentions (51)

  • A PageSpeed insight report, but for every page in your domain
    Trust neither. The most optimal option I've found is webpagetest.org Its been quite handy lately. This tool does look interesting. Source: about 3 years ago
  • How are you all accurately checking your website load time? Not sure PageSpeedInsights is very helpful.
    Webpagetest.org is another. Pagespeedinsights and lighthouse are great for identifying page load issues to fix, but actual page load times will always vary between the user and your web server. Universal analytics has some page load timings but that's going away soon and nothing afaik is in GA4. I've seen an example of building a page load timer in tag manager and dumping the results into an event. Source: over 3 years ago
  • Extreme confusing over Speed Index results -- webpagetest.org
    So I am working on rebuilding our company's site with a new stack. I am running tests using webpagetest.org, and I am having trouble fully understanding the speed index results as well as the film strip view. The page renders quite fast everywhere I test it. Google Lighthouse shows it in the 90s + for performance score, however when I test the page on webpagetest, I get load times of 77 seconds (NOT MS) which is... Source: over 3 years ago
  • Does anyone else experience pure ecstasy when they get 100 on Lighthouse? ๐Ÿ˜ฉ
    Webpagetest.org is great, and checking OP's site they have done an incredible job, I don't think I have ever made or seen an Ecom site this slick. Super clean waterfall view. Source: over 3 years ago
  • Performance scores for Google Lighthouse/Insights seem to be very inaccurate
    Thanks for the recommendation regarding webpagetest.org, another user made a similar recommendation so I will check it out. Source: over 3 years ago
View more

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 WebPagetest and Plotly, you can also consider the following products

GTmetrix - GTmetrix is a free tool that analyzes your page's speed performance. Using PageSpeed and YSlow, GTmetrix generates scores for your pages and offers actionable recommendations on how to fix them.

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.

PageSpeed Insights - PageSpeed is addon for ...

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

Google Lighthouse - Lighthouse is an open-source, automated tool for improving the quality of web pages.

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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