Software Alternatives & Startups

Plotly VS Pygments

Compare Plotly VS Pygments and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

Pygments logo Pygments

Generic syntax highlighter suitable for use in code hosting, forums, wikis or other applications...
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Pygments Landing page
    Landing page //
    2023-10-15

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.

Pygments features and specs

  • Wide Language Support
    Pygments supports a broad range of programming languages and file formats, making it highly versatile for developers working in diverse environments.
  • High-Quality Output
    The library produces highly readable and aesthetically pleasing highlighted code, which is crucial for documentation and presentation.
  • Easy Integration
    Pygments is designed to integrate easily with a variety of web frameworks, content management systems, and text editors.
  • Customization Options
    Users can customize styles, themes, and output formats to meet specific needs, providing flexibility for different aesthetic requirements.
  • Active Community
    A strong, active community contributes to its continuous development and improvement, ensuring it stays updated with the latest languages and features.

Possible disadvantages of Pygments

  • Performance Overhead
    For large codebases or high-frequency requests, using Pygments can introduce performance overhead, potentially slowing down applications.
  • Dependency Management
    As with any library, integrating Pygments means managing its dependencies and ensuring compatibility with other project components.
  • Complexity in Advanced Use
    While basic usage is straightforward, more advanced features and customizations can introduce complexity, requiring a deeper understanding of the library.
  • Limited Built-In Features
    Pygments primarily focuses on syntax highlighting, so additional functionality (like code execution or detailed analysis) has to be handled by other tools or custom development.

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.

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

Pygments videos

No Pygments videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Plotly and Pygments)
Data Visualization
100 100%
0% 0
App Reviews
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Customer Feedback
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 Plotly and Pygments

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.

Pygments Reviews

We have no reviews of Pygments yet.
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Social recommendations and mentions

Based on our record, Plotly should be more popular than Pygments. 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.

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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Pygments mentions (11)

  • Java Hello World, LLVM Edition
    Yep, and for syntax highlighting, I used the minted package [1]. Internally, minted uses the Pygments library [2]. [1] https://ctan.org/pkg/minted [2] https://pygments.org/. - Source: Hacker News / 9 months ago
  • Ask HN: Printing Code to Paper?
    Some starter ideas[0] beyond spacing/line numbers. BNF format is used to describe a programming language. treesitter as a text editor plug in makes use of a language BNF description to be able to know how to parse & format a given lanuage in a text editor (aka pygments[1], gnu source code hightlights, [2] neovim with treesitter[3]). Aka searching google "treesitter work with microsoft notepade" --- [0] :... - Source: Hacker News / about 2 years ago
  • Marcel the Shell
    I suspect Pygments will be to your liking. https://pygments.org/. - Source: Hacker News / almost 3 years ago
  • Blog in django
    It's not clear exactly what you want, but if you mean syntax highlighting, you could use pygments https://pygments.org/. Source: about 3 years ago
  • I'm looking for a way to display live changes to a text file with Python
    Https://pygments.org/ - never tried it though. Source: over 3 years ago
View more

What are some alternatives?

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

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.

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

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

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

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.

Bat - A cat(1) clone with wings.