Software Alternatives, Accelerators & Startups

Plotly VS Google Earth Pro

Compare Plotly VS Google Earth Pro and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

Google Earth Pro logo Google Earth Pro

Google Earth Pro allows you fly anywhere around the earth to view satellite imagery, maps, 3D building, and terrain, from galaxies in outer space to the canyons of the ocean.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Google Earth Pro Landing page
    Landing page //
    2021-09-14

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.

Google Earth Pro features and specs

  • High-Resolution Imagery
    Google Earth Pro offers high-resolution satellite imagery, allowing users to view detailed maps and landscapes from around the world.
  • Historical Imagery
    Users can access historical satellite images, which can be useful for analyzing changes over time in specific locations.
  • GIS Data Import
    Supports the import of Geographic Information System (GIS) data, enabling users to overlay their own data on the map.
  • Measurement Tools
    Provides advanced measurement tools such as polygon area measurement and distance measurement, useful for land surveying and planning.
  • Free of Charge
    Despite its advanced features, Google Earth Pro is available for free, making it accessible to a wide range of users.

Possible disadvantages of Google Earth Pro

  • Data Privacy Concerns
    The use of Google services often involves data collection, which can lead to privacy concerns for some users.
  • System Requirements
    Requires a relatively powerful computer to run smoothly, including significant RAM and a robust graphics processor.
  • Limited Real-Time Data
    Although highly detailed, the satellite imagery is not real-time and may be outdated by several months to a few years.
  • Steep Learning Curve
    The software can be complex for beginners, requiring time to learn how to use all its features effectively.
  • Internet Dependency
    A reliable internet connection is needed to access and stream the high-resolution images and data.

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 Google Earth Pro

Overall verdict

  • Yes, Google Earth Pro is considered a good tool for both professional and personal use. It provides extensive features for free that were once only available in expensive specialized software, making it accessible to a wide range of users.

Why this product is good

  • Google Earth Pro is a powerful geographic information software tool that offers high-resolution satellite imagery, 3D terrain visualization, and various layers including roads, borders, and places of interest. It also supports advanced features like GIS data import, high-resolution printing, and area measurements. This makes it an invaluable tool for professionals in fields such as urban planning, environmental science, real estate, and education.

Recommended for

  • Urban planners and architects looking to visualize potential development sites.
  • Educators seeking a dynamic tool to teach geography and earth sciences.
  • Researchers conducting environmental and geographical analysis.
  • Travel enthusiasts who want to explore geographical locations from a virtual perspective.
  • Real estate professionals who need to analyze property locations and surroundings.

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

Google Earth Pro videos

Using Google Earth Pro

More videos:

  • Demo - Google Earth Pro Demo
  • Review - Google Earth Pro Review!

Category Popularity

0-100% (relative to Plotly and Google Earth Pro)
Data Visualization
100 100%
0% 0
Maps
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Web Mapping
0 0%
100% 100

User comments

Share your experience with using Plotly and Google Earth Pro. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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.

Google Earth Pro Reviews

We have no reviews of Google Earth Pro yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Google Earth Pro. While we know about 34 links to Plotly, we've tracked only 1 mention of Google Earth Pro. 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 / 5 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

Google Earth Pro mentions (1)

  • Several macOS Monterey Features Unavailable on Intel-Based Macs
    Meanwhile, I can load up google.com/earth/ just fine. Source: about 5 years ago

What are some alternatives?

When comparing Plotly and Google Earth Pro, 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.

Google Maps - Find local businesses, view maps and get driving directions in Google Maps.

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

Mapbox - An open source mapping platform for custom designed maps. Our APIs and SDKs are the building blocks to integrate location into any mobile or web app.

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.

OSGeo - QGIS is a desktop geographic information system, or GIS.