Software Alternatives, Accelerators & Startups

Plotly VS PageSpeed Insights

Compare Plotly VS PageSpeed Insights and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

PageSpeed Insights logo PageSpeed Insights

PageSpeed is addon for ...
  • Plotly Landing page
    Landing page //
    2023-07-31
  • PageSpeed Insights Landing page
    Landing page //
    2022-01-02

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.

PageSpeed Insights features and specs

  • Comprehensive Analysis
    PageSpeed Insights provides a thorough analysis of both mobile and desktop versions of your website, offering insights into performance, accessibility, best practices, and SEO metrics.
  • Actionable Recommendations
    The tool offers specific, actionable recommendations to improve page load times and overall site performance, making it easier for developers to implement necessary changes.
  • Integration with Other Google Tools
    PageSpeed Insights seamlessly integrates with other Google tools such as Google Analytics and Search Console, providing a more holistic view of your website's performance.
  • User Experience Metrics
    It measures Core Web Vitals, which are essential for understanding user experience metrics like loading time, interactivity, and visual stability.
  • Free to Use
    The tool is completely free, making it accessible for developers, businesses, and individuals without any associated cost.

Possible disadvantages of PageSpeed Insights

  • Limited Historical Data
    PageSpeed Insights doesn't maintain historical data or trends, making it difficult to track progress over time directly within the tool.
  • Lack of Advanced Features
    While it's excellent for basic to intermediate analysis, it lacks some advanced features and customization options found in paid tools like GTmetrix or WebPageTest.
  • Potential for Misinterpretation
    The results and recommendations can sometimes be technical and difficult for non-developers to understand, leading to potential misinterpretation or incorrect implementation.
  • Server Dependency
    The tool's performance score can be influenced by server locations and current network conditions, which may not always provide a consistent assessment.
  • Lag in Updates
    There can be a lag in updates to reflect the most recent changes in web development practices and Googleโ€™s own algorithms, meaning the tool might not always offer the latest best practices.

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.

Analysis of PageSpeed Insights

Overall verdict

  • Yes, PageSpeed Insights is considered to be a good and effective tool for assessing and optimizing web page performance.

Why this product is good

  • PageSpeed Insights, provided by Google, is a valuable tool for analyzing the performance of web pages. It offers specific suggestions to improve page load times, which is crucial for both user experience and search engine optimization. It evaluates both mobile and desktop versions of a website and provides actionable insights tailored for each. The tool is also easy to use and integrates easily into the workflow of developers and site owners.

Recommended for

  • Web developers looking to optimize their sites for better performance.
  • SEO specialists who want to ensure that their pages load quickly and efficiently.
  • Site owners eager to improve user experience by understanding how their sites perform on different devices.
  • Anyone interested in identifying and resolving issues that can slow down their web pages.

Plotly videos

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

PageSpeed Insights videos

The New Google PageSpeed Insights & How To Use It

More videos:

  • Review - Ezoic Site Speed Accelerator Review โ€” 100 Google PageSpeed Insights Scores on Mobile and Desktop?

Category Popularity

0-100% (relative to Plotly and PageSpeed Insights)
Data Visualization
100 100%
0% 0
Website Monitoring
0 0%
100% 100
Charting Libraries
100 100%
0% 0
SEO Tools
0 0%
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 Plotly and PageSpeed Insights

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.
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...
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.

PageSpeed Insights Reviews

We have no reviews of PageSpeed Insights yet.
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Social recommendations and mentions

Based on our record, PageSpeed Insights should be more popular than Plotly. It has been mentiond 113 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.

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
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PageSpeed Insights mentions (113)

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What are some alternatives?

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

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.

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.

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.

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