Software Alternatives, Accelerators & Startups

GatsbyJS VS Plotly

Compare GatsbyJS VS Plotly and see what are their differences

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GatsbyJS logo GatsbyJS

Blazing-fast static site generator for React

Plotly logo Plotly

Low-Code Data Apps
  • GatsbyJS Landing page
    Landing page //
    2023-09-12
  • Plotly Landing page
    Landing page //
    2023-07-31

GatsbyJS features and specs

  • Performance
    GatsbyJS pre-builds your site into static files for fast load times and instantaneous page loads thanks to features like code splitting, PRPL pattern, and Asset Optimization.
  • SEO-Friendly
    GatsbyJS generates static HTML, which helps search engines to index your site more effectively. Additionally, you have fine-grained control over metadata and other SEO optimizations.
  • Rich Plugin Ecosystem
    GatsbyJS boasts an extensive plugin ecosystem that covers a wide array of functionalities such as sourcing data from CMSs, adding analytics, integrating with various APIs, and much more.
  • Strong Community Support
    Gatsby has a robust and active community that provides ample documentation, tutorials, and support to help you get started and troubleshoot issues.
  • Secure and Scalable
    Since Gatsby sites are static, they are inherently more secure against traditional web-based vulnerabilities and can be scaled easily by deploying to a CDN.

Possible disadvantages of GatsbyJS

  • Build Time
    For larger sites, build times can become noticeably long as Gatsby rebuilds the entire site. This can be a bottleneck for frequent updates.
  • Less Suitable for Dynamic Content
    Since Gatsby generates static pages, it's less suited for applications that require real-time data updates or dynamic content unless they are integrated with client-side JS or third-party services.
  • Initial Setup Complexity
    Getting started with Gatsby can be complex for beginners unfamiliar with React and GraphQL, as it requires knowledge of these technologies.
  • GraphQL Learning Curve
    A significant part of customizing and extending Gatsby sites involves GraphQL queries, which can be a barrier for developers who are not yet familiar with GraphQL.
  • Plugin Quality Variability
    While Gatsby has a rich plugin ecosystem, the quality and maintenance of plugins can vary, requiring developers to vet the plugins they choose to integrate into their projects.

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.

GatsbyJS videos

The Great Gatsby - Movie Review by Chris Stuckmann

More videos:

  • Review - The Great Gatsby movie review
  • Review - The Ultimate Gatsby Moving Rubber Review!

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 GatsbyJS and Plotly)
CMS
100 100%
0% 0
Data Visualization
0 0%
100% 100
Blogging
100 100%
0% 0
Data Dashboard
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 GatsbyJS and Plotly

GatsbyJS Reviews

Top JavaScript Frameworks in 2025
Gatsby JS is a free, open-source, React-based framework that is used to create static websites. It has a great ecosystem of plugins that serve various needs like sourcing data from CMSs, integrating tools, managing images using lazy loading, and more.
Source: solguruz.com
Top 10 Next.js Alternatives You Can Try
Gatsby allows you to add plugins with versatile functions and customization to increase your efficiency when developing websites. Here, you can use multiple styling approaches like Sass and CSS-in-JS library solutions to build web pages more smoothly. Moreover, using Gatsby as an alternative to Next.Js provides you with a complete learning guide to enhance your developing...
20 Next.js Alternatives Worth Considering
A React-based maestro, Gatsby transforms the way sites come to life by hooking into a rich set of data sources. Picture this: a web that’s blazing fast, where your creations go live almost before you hit ‘publish’. That’s Gatsby for you. Inside its engine, it’s got GraphQL superpowers, making data dancing across your pages a breeze.
10 Best Next.js Alternatives to Consider Today
A React-based framework, Gatsby excels in crafting static websites renowned for their exceptional performance. Leveraging GraphQL, Gatsby efficiently pulls data from diverse sources, empowering developers to build dynamic, data-driven websites effortlessly. Its expansive plugin ecosystem allows seamless integration with various data providers, content management systems...
20 Best JavaScript Frameworks For 2023
Gatsby lets users pull data from any data source imaginable – CMS like WordPress, Drupal, Netlify, Contentful, etc., or APIs, databases, or simple markdown. Unlike Next.js, which we discussed above, Gatsby does not perform server-side rendering. Instead, it generates HTML content on the client side during build time. As a result, Gatsby delivers blazing-fast performance,...

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 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.

Social recommendations and mentions

Based on our record, Plotly should be more popular than GatsbyJS. It has been mentiond 33 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.

GatsbyJS mentions (16)

  • React SEO: How to Build Search-Friendly Pages in React
    The most famous frameworks for developing SSR applications are Gatsby and Next.js. Although there are differences between them, their main goal is similar: to allow next-generation web applications to remain blazing-fast. - Source: dev.to / 2 months ago
  • External content for GatsbyJS
    If you enjoy React and want a standard-compliant and high performance web, you should look at GatsbyJS. - Source: dev.to / 10 months ago
  • Replatforming from Gatsby to Zola!
    Since around 2019 I have used Gatsby as my static site generator. Its plugin system makes it super feature extensible. It uses React under the hood which makes components easy to write and has tons of community support. Once I had a Gatsby site styled and running, publishing blog posts is fairly trivial:. - Source: dev.to / about 1 year ago
  • Build a Documentation Website with Gatsby in 10 Mins
    Smooth DOC is a ready-to-use Gatsby theme to create a documentation website. Creating a pro-quality website like this one takes weeks. Smooth DOC saves you time and lets you focus on the content. - Source: dev.to / over 1 year ago
  • Where to begin?
    I'd start with learning HTML and CSS first, then Javascript after those. There are a lot of free online resources for learning those. For websites, I use jekyll which is a great way to start off because there are a lot of community website templates that you can customize, which is great for beginners and learning. Then I'd recommend learning/moving to React. The Gatsby website generator would be good for React... Source: almost 3 years ago
View more

Plotly mentions (33)

  • 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 / 3 months 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 / 5 months 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 / 7 months 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 1 year ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

What are some alternatives?

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

Jekyll - Jekyll is a simple, blog aware, static site generator.

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.

Hugo - Hugo is a general-purpose website framework for generating static web pages.

Chart.js - Easy, object oriented client side graphs for designers and developers.

Ghost - Ghost is a fully open source, adaptable platform for building and running a modern online publication. We power blogs, magazines and journalists from Zappos to Sky News.

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