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Shiki VS Plotly

Compare Shiki VS Plotly and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Shiki logo Shiki

A beautiful syntax highlighter based on TextMate grammar, accurate and powerful.

Plotly logo Plotly

Low-Code Data Apps
Not present
  • Plotly Landing page
    Landing page //
    2023-07-31

Shiki features and specs

  • Aesthetic Appeal
    Shiki.style offers visually stunning themes that enhance the user experience by providing modern, sleek, and aesthetically appealing designs.
  • Customization
    Users can extensively customize themes to suit their personal tastes or brand identity, offering a high degree of personalization.
  • Ease of Use
    The platform is user-friendly and intuitive, making it easy for users to implement and modify themes even if they lack extensive technical skills.
  • Regular Updates
    Shiki.style regularly updates its themes and features, ensuring that users benefit from the latest design trends and technological advancements.
  • Responsive Design
    Themes provided by Shiki.style are responsive, meaning they adapt well to different screen sizes and devices, enhancing the user experience across platforms.

Possible disadvantages of Shiki

  • Limited Free Options
    While Shiki.style offers high-quality designs, free options are limited, which may require users to purchase premium themes for more features.
  • Learning Curve
    Despite its user-friendliness, there might still be a learning curve for those unfamiliar with web design or theme customization.
  • Dependency on Platform
    Using Shiki.style creates a dependency on its platform, which might make it difficult for users to switch to another service without losing their customizations.
  • Performance Overheads
    Highly detailed themes and customizations might impact website loading times, leading to potential performance issues on lower-end devices.
  • Integration Limitations
    Some users may experience limitations when trying to integrate Shiki.style themes with certain third-party services or platforms, requiring additional adjustments.

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.

Shiki videos

+ Add

Shiki Review: A-Hunting We Will Go

More videos:

  • Review - GR Anime Review: Shiki
  • Review - Shiki Review - Vampires are Terrible People

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 Shiki and Plotly)

Shiki

Plotly

App Reviews
100 100%
App Reviews
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Customer Feedback
100 100%
Customer Feedback
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 Shiki and Plotly

Shiki Reviews

We have no reviews of Shiki yet.
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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.
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 seems to be a lot more popular than Shiki. While we know about 34 links to Plotly, we've tracked only 1 mention of Shiki. 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.

Shiki mentions (1)

  • Artisanal Handcrafted Git Repositories
    The site uses Astro (https://astro.build/) and the code blocks are generated using Shiki (https://shiki.style/). As Shiki generates the HTML and CSS at build-time instead of requiring runtime JS like alternatives like Prism (https://prismjs.com/#basic-usage), it's actually quite performant. I think it's unlikely that a couple of hundred lines with some empty spans in is going to cause performance issues – imo it's... - Source: Hacker News / about 1 year ago

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 Shiki 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.

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

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

Bright - React Server Component for syntax highlighting.

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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