Software Alternatives & Startups

highlight.js VS Plotly

Compare highlight.js VS Plotly and see what are their differences

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highlight.js logo highlight.js

Highlight.js is a syntax highlighter written in JavaScript. It works in the browser as well as on the server.

Plotly logo Plotly

Low-Code Data Apps
  • highlight.js Landing page
    Landing page //
    2023-09-25
  • Plotly Landing page
    Landing page //
    2023-07-31

highlight.js features and specs

  • Wide Language Support
    Highlight.js supports a comprehensive range of programming languages out of the box, making it versatile for various projects.
  • Automatic Language Detection
    It can automatically detect the programming language of a code block, reducing the setup time and effort for developers.
  • Customization
    Highlight.js offers numerous themes and customization options, allowing developers to easily tailor the syntax highlighting to match their application's aesthetic.
  • Lightweight and Fast
    The library is lightweight and performs efficiently, ensuring quick load times and a seamless user experience.
  • Open Source
    As an open-source project, Highlight.js benefits from community contributions and is free to use, modify, and distribute.

Possible disadvantages of highlight.js

  • Limited Dynamic Features
    Highlight.js is primarily used for static code block highlighting and lacks advanced features like real-time editing or complex code analysis.
  • Manual Updates
    New languages or updates may not be immediately available, requiring users to manually update the library or find alternatives for less common languages.
  • Performance Degradation on Large Files
    Highlight.js may experience performance issues when rendering very large code files, potentially slowing down page load times.
  • Dependency Management
    As with many JavaScript libraries, managing dependencies and ensuring compatibility with other libraries or frameworks can be challenging.

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.

highlight.js videos

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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

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App Reviews
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Data Visualization
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Customer Feedback
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Charting Libraries
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User comments

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Reviews

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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, highlight.js should be more popular than Plotly. It has been mentiond 57 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.

highlight.js mentions (57)

  • Angular’s New injectAsync() API Explained
    In our demo application, we're using highlight.js and Marked for markdown processing and syntax highlighting. - Source: dev.to / 4 months ago
  • Open-Source N8N Alternative for Workflow Building (GUI and Docker Included)
    In your website you could use https://highlightjs.org/ to syntax highlight the blocks of code. - Source: Hacker News / 9 months ago
  • A better pkg.go.dev
    Every time a request come in, we forward it to the pkg.go.dev server, then append the highlight.js script to the response before sending it back to the client. - Source: dev.to / over 1 year ago
  • Day 19: Highlight'em up! 🔖
    It supports 192 languages, just like a browser highlighter:. - Source: dev.to / over 1 year ago
  • YouTube Embeds Are Bananas Heavy and It's Fixable
    Now we only need to force bloggers to stop using GitHub Gist embeds. Hugo (and probably other static site generators) has built-in support for code snippets with syntax highlighting, and more dynamic sites can rely on highlight.js which removes dependence on third-party services. It's just insane, using heavy iframes for small code snippets. https://gohugo.io/content-management/syntax-highlighting/... - Source: Hacker News / about 2 years ago
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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
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What are some alternatives?

When comparing highlight.js and Plotly, you can also consider the following products

prism.js - Prism is a lightweight, extensible syntax highlighter, built with modern web standards in mind.

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.

Carbon - Create and share beautiful images of your source code.

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

code-prettify - Code Prettify is an embeddable script that makes source-code snippets in HTML prettier.

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.