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Backlinko VS Plotly

Compare Backlinko VS Plotly and see what are their differences

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Backlinko logo Backlinko

Backlinko is the place for next-level SEO training and link building strategies.

Plotly logo Plotly

Low-Code Data Apps
  • Backlinko Landing page
    Landing page //
    2022-03-15
  • Plotly Landing page
    Landing page //
    2023-07-31

Backlinko features and specs

  • High-Quality Content
    Backlinko is known for its high-quality, in-depth content focused on SEO and digital marketing strategies, which can be valuable for both beginners and experienced marketers.
  • Actionable Tips
    The platform provides actionable tips and strategies that can be practically implemented to improve SEO performance.
  • Industry Expertise
    Created by Brian Dean, a respected figure in the SEO community, ensuring the advice and insights are based on extensive experience.
  • Comprehensive Guides
    Offers comprehensive guides and case studies that cover a wide range of SEO topics in detail.
  • Regular Updates
    Content is updated regularly to reflect changes in the SEO industry, ensuring the information is current and relevant.

Possible disadvantages of Backlinko

  • Limited Range of Topics
    Primarily focused on SEO and may not cover a broader range of digital marketing topics such as social media, email marketing, or PPC advertising.
  • Premium Content Costs
    Some content and resources require payment or subscription, which may not be suitable for users looking for free resources.
  • High-Level Terminology
    Content can be complex and may include high-level terminology, which might be challenging for complete beginners without any SEO background.
  • Information Overload
    Due to the depth and comprehensiveness of the guides, users might feel overwhelmed by the amount of information presented at once.
  • Limited Interaction
    The platform does not provide as much opportunity for interaction, discussion, or feedback compared to forums or community-based platforms.

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 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.

Backlinko videos

+ Add

SEO in 2020 and beyond with Brian Dean of Backlinko

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 Backlinko and Plotly)

Backlinko

Plotly

SEO Tools
100 100%
SEO Tools
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
SEO
100 100%
SEO
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 Backlinko and Plotly

Backlinko Reviews

We have no reviews of Backlinko yet.
Be the first one to post

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 that’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 Backlinko. 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.

Backlinko mentions (16)

  • SEO business meets Jamstack 👉 Backlinko Case Study
    Since 2013, Backlinko has become one of the biggest blogs and brands in the SEO industry. It's the right place if you're looking for next-level SEO training and link-building strategies. Source: over 3 years ago
  • Best way to learn digital marketing fast?
    For sources - Udemy, YouTube, tons of blog posts. E. G. https://www.digitalmarketer.com/digital-marketing/ for SEO - https://backlinko.com/. Source: over 3 years ago
  • What SEO books/websites and other learning resources do you use for your blog?
    Brian Dean's Backlinko, Neil Patel's Quicksprout, Google and Bing Webmaster Tools, SEO Book, and SEO Chat are some of the resources I utilize to understand SEO. Aside from that, I read SEO blogs and forums because they are usually full of new information. Source: over 4 years ago
  • Google Chrome 101.0.4951.64 released
    Backlinko.com says "Chrome is currently the primary browser of more than 2.65 billion internet users.". Source: over 4 years ago
  • Any recommendations on sites to learn from?
    How do users get to your site? SEO, Paid ads, social media. Already mentioned, but I like backlinko.com. Source: over 4 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 / 6 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!🤓
    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 / almost 2 years 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 Backlinko and Plotly, you can also consider the following products

Ahrefs - Ahrefs is a toolset for SEO and marketing. We have tools for backlink research, organic traffic research, keyword research, content marketing & more. Give Ahrefs a try!

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.

Moz - Backed by industry-leading data and the largest community of SEOs on the planet, Moz builds tools that make inbound marketing easy.

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

SEMRush - All-in-one Marketing Toolkit for digital marketing professionals.

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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