Software Alternatives, Accelerators & Startups

LinkStorm VS Plotly

Compare LinkStorm VS Plotly and see what are their differences

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LinkStorm logo LinkStorm

Optimize your internal linking

Plotly logo Plotly

Low-Code Data Apps
  • LinkStorm
    Image date //
    2024-07-18
  • LinkStorm
    Image date //
    2024-07-18

LinkStorm utilizes state-of-the-art AI to analyze your website's content and suggest relevant internal links that you can add with just one click. It's the ultimate interlinking solution, saving valuable time for SEO professionals and publishers alike.

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

LinkStorm

$ Details
paid Free Trial $30.0 / Monthly (Small)
Startup details
Country
Spain
State
Barcelona
City
Vic
Founder(s)
Franรงois Mommens
Employees
1 - 9

LinkStorm features and specs

  • Improved Internal Linking
    LinkStorm provides suggestions for internal linking opportunities, which can enhance SEO by distributing page authority throughout the site.
  • User-Friendly Interface
    The platform offers an intuitive and easy-to-navigate interface, making it accessible for users with varying levels of technical expertise.
  • Time-Saving
    By automating the process of finding internal link opportunities, LinkStorm saves users time compared to manual methods.
  • Comprehensive Analysis
    LinkStorm offers detailed insights and analysis, helping users understand their current internal linking structure and identify areas for improvement.

Possible disadvantages of LinkStorm

  • Limited Customization
    Users may find that the tool offers limited options for customization, which can be restrictive for sites with unique linking strategies.
  • Dependence on Tool Accuracy
    The effectiveness of the suggestions depends on the tool's ability to accurately analyze the website, which may not be perfect in all scenarios.
  • Potential for Over-Reliance
    Relying heavily on the tool may lead to neglecting manual SEO evaluations and creative linking approaches that might be beneficial.
  • Learning Curve
    Despite its user-friendly design, new users may still face a learning curve when integrating this tool into their workflow effectively.

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 LinkStorm

Overall verdict

  • LinkStorm is a solid internal linking automation tool that helps SEO professionals and content teams streamline the process of building and managing internal links, saving time while improving site structure and search visibility.

Why this product is good

  • Automates the discovery of internal linking opportunities across your website, reducing tedious manual work
  • Provides AI-powered link suggestions that help improve site architecture and SEO performance
  • Includes features like broken link detection and orphan page identification to maintain site health
  • Offers a real-time link management dashboard for tracking and editing links efficiently
  • Integrates with popular platforms like WordPress, making implementation straightforward

Recommended for

  • SEO professionals looking to scale internal linking strategies
  • Content marketers managing large websites with many pages
  • Agencies handling internal linking for multiple client sites
  • Bloggers and website owners wanting to improve site structure without manual effort
  • E-commerce sites needing to strengthen internal links across product and category pages

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.

LinkStorm videos

Craig Campbell review of LinkStorm

More videos:

  • Demo - Build relevant internal links with LinkStorm
  • Tutorial - 1mn turorial on how to use LinkStorm

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

Category Popularity

0-100% (relative to LinkStorm and Plotly)
SEO Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
SEO
100 100%
0% 0
Charting Libraries
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 LinkStorm and Plotly

LinkStorm Reviews

  1. Easiest way to fix internal linking for your website

    This tool is super easy and get things done without a fuss. Highly recommended,

    ๐Ÿ‘ Pros:    Easy to setup|Affordable price|Save efforts|Improves your productivity
    ๐Ÿ‘Ž Cons:    Ux/ui can be improved

The 7 best internal linking tools, honestly compared
500+ pages, bulk insertion at scale: Internal Link Juicer or LinkStorm; both approve 10+ suggestions in batch workflows. Expect monthly subscription costs (LinkStorm) or freemium+paid tiers (Juicer).
Source: rectoapp.com

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.

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. 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.

LinkStorm mentions (0)

We have not tracked any mentions of LinkStorm yet. Tracking of LinkStorm recommendations started around Aug 2021.

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
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What are some alternatives?

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

Link Whisper - internal linking tool

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.

AutoLink AI - Cut SEO grunt work in half. Autolink.ai's AI assistant analyzes content and suggests optimized, relevant links so you can boost site architecture and search traffic without the manual effort. The future of contextual internal linking.

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

WordPress Internal Link Optimiser - A internal link optimiser and finder tool for WordPress SEO

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.