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Jekyll VS Plotly

Compare Jekyll VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Jekyll logo Jekyll

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

Plotly logo Plotly

Low-Code Data Apps
  • Jekyll Landing page
    Landing page //
    2023-01-17
  • Plotly Landing page
    Landing page //
    2023-07-31

Jekyll features and specs

  • Speed and Performance
    Jekyll generates static websites, which means they load faster compared to dynamic websites. No database queries are required, reducing server overhead and improving performance.
  • Security
    Static sites have a smaller attack surface compared to dynamic sites because they don't rely on databases or server-side code. This means fewer vectors for potential compromises.
  • Simplicity
    Jekyll setups are relatively straightforward, especially if you are comfortable writing in Markdown and HTML. This can make it easier to manage and maintain your website.
  • Integration with GitHub Pages
    Jekyll is designed to work seamlessly with GitHub Pages, allowing you to host your website for free with automatic deployment directly from your GitHub repository.
  • Customizability
    Jekyll allows for extensive customization through its support for plugins, themes, and templates. This can be helpful to create a unique look and functionality for your website.

Possible disadvantages of Jekyll

  • Learning Curve
    While Jekyll is simpler than some other static site generators, it does require some familiarity with the command line, version control (Git), and YAML configuration.
  • Build Time
    For large websites, the build times can become lengthy, which can slow down the development process, especially if you are making frequent updates.
  • Lack of Real-time Content Updates
    Since Jekyll generates static sites, real-time content updates (e.g., comments, dynamic forms) aren't natively supported and require third-party services or additional tooling.
  • Dependence on Ruby
    Jekyll is built with Ruby, so you will need to have Ruby installed and occasionally deal with Ruby-specific issues. This might be a drawback for developers who are not familiar with the Ruby ecosystem.
  • Limited Built-in Functionality
    While Jekyll is very flexible, it doesnโ€™t have built-in support for many features out of the box, which might require you to manually implement or rely on plugins.

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 Jekyll

Overall verdict

  • Jekyll is a good choice for individuals and organizations looking for a straightforward, reliable, and efficient way to build static websites. Its strengths include simplicity, flexibility, and strong community support, which contribute to a smooth development experience.

Why this product is good

  • Jekyll is a popular static site generator that is widely appreciated for its simplicity, speed, and ease of use. It is particularly suited for creating blogs and simple websites, leveraging Markdown and Liquid templates to generate static HTML content. Its integration with GitHub Pages also makes it a convenient choice for developers and non-developers alike who want to host their sites directly from their GitHub repositories without additional setup or cost.

Recommended for

  • Bloggers and content creators looking for a simple way to publish content online.
  • Developers who prefer writing in Markdown and managing content with a version control system.
  • Users who want to host their sites for free using GitHub Pages.
  • Anyone in need of a static site generator that is easy to set up, customize, and maintain with minimal resources.

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.

Jekyll videos

+ Add

Getting Started With Jekyll, The Static Site Generator

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 Jekyll and Plotly)

Jekyll

Plotly

CMS
100 100%
CMS
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Blogging
100 100%
Blogging
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Jekyll and Plotly. For example, how are they different and which one is better?
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Reviews

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

Jekyll Reviews

Best Gitbook Alternatives You Need to Try in 2023
Jekyll is a static site generator often used to create blogs and websites, similar to Gitbook in its ability to generate documentation from markdown files. Jekyll is built in Ruby and is known for its flexibility and ease of use. It also has a large community and a wide variety of plugins and themes available. Jekyll's main advantage is that it is highly customizable,...
Source: www.archbee.com
11 Popular Free And Open Source WordPress CMS alternatives in 2021
Unlike some listed alternatives, Jekyll is also a static site generator so it lays in the same category. It uses Ruby and we would say it's simpler, free, and open-source CMS software.
Source: medevel.com
10 static site generators to watch inย 2021
Perhaps most conveniently described as Jekyll implemented with JavaScript rather than Ruby, Eleventy has now moved beyond that while retaining a clear and simple on-ramp, and only shipping to the browser what you tell it too. As with Jekyll and Hugo, no JavaScript frameworks are auto-baked in.
Source: www.netlify.com
Hugo vs Jekyll: an Epic Battle of Static Site Generator Themes
Jekyll isnโ€™t strict with its content location. It expects pages in the root of your site, and will build whateverโ€™s there. Hereโ€™s how you might organize these pages in your Jekyll site root:
Source: www.freecodecamp.org
9 Reasons I Think Craft is the Best CMS on the Market Today
Craft CMS is simple, minimalistic, agile and has every capability a modern CMS framework needs. Over the past ten years we have worked with every CMS you could think of (Wordpress, Drupal, Rails+ActiveAdmin, Ghost, Weebly, DjangoCMS, Jekyll, Joomla, Tumblr, Squarespace, Expression Engine, Statamic, Blogger)โ€ฆ here are the reasons why weโ€™ve landed firmly with Craft as our โ„–1...
Source: hackernoon.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.
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 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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Jekyll should be more popular than Plotly. It has been mentiond 203 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.

Jekyll mentions (203)

  • Setting up a hugo static site hosted with Porkbun
    This is a static site generated with hugo with the PaperMod theme. I wanted an easy to use static site generator. I considered Jekyll And believe it to be a good choice for static sites. There seemed to be slightly more themes I liked with Hugo so I went with that. That's a pretty superficial choice but I also don't plan on hacking on the Site generation itself so I was agnostic to the Go versus Ruby choice. - Source: dev.to / 5 months ago
  • So, you want to vibecode a linkblog?
    First of all, I modified my publishing programs to keep a (local) copy of each link published modulePublicationCache and then I thought about using it for my linkblog. I like very much jekyll for a blog and I requested to some AIs (mainly Qwen and Gemini) to help me to develop a blog based on the links I has posted the previous day, prepare a list with them, and prepare a Jekyll post. I also requested to set up a... - Source: dev.to / 6 months ago
  • Migrating from Jekyll to Hugo... or not
    I started this blog on WordPress. After several years, I decided to migrate to Jekyll. I have been happy with Jekyll so far. It's based on Ruby, and though I'm no Ruby developer, I was able to create a few plugins. - Source: dev.to / 6 months ago
  • Introducing โ“‚๏ธ Meddler! A Medium Export Converter
    So, I created โ“‚๏ธ Meddler, a command-line tool and website that will take the .ZIP of your export that Medium gives you and turn it into clean, portable Markdown formats for Jekyll, Hugo, Eleventy, or Astro.js. - Source: dev.to / 6 months ago
  • Introducing: Postwave
    After writing your posts in Markdown you can then display them however you'd like on your site through the built in Postwave Ruby client. This is where Postwave differs from static blog engines like Jekyll or Hugo which take the Markdown posts and generate a site for you. - Source: dev.to / 11 months 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 / 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

What are some alternatives?

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

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

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.

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...

WordPress - WordPress is web software you can use to create a beautiful website or blog. We like to say that WordPress is both free and priceless at the same time.

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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