Software Alternatives & Startups
Register | Login

Carbon VS Plotly

Compare Carbon VS Plotly and see what are their differences

WorkProcedures
Generate professional standard operating procedures in minutes. AI-powered SOP creation built on 10,000+ industry procedures. sponsored
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Carbon logo Carbon

Create and share beautiful images of your source code.

Plotly logo Plotly

Low-Code Data Apps
  • Carbon Landing page
    Landing page //
    2023-09-17
  • Plotly Landing page
    Landing page //
    2023-07-31

Carbon features and specs

  • Aesthetically Pleasing
    Carbon allows you to create beautiful images of your source code, which can be easily shared on social media, presentations, or documentation.
  • Customization Options
    Provides various customization options such as themes, background colors, window controls, font styles, and more, allowing users to create images that match their preferences or brand identity.
  • Ease of Use
    The interface is user-friendly, enabling users to create high-quality code images with minimal effort. Simply paste your code, customize it, and export.
  • Code Syntax Highlighting
    Supports syntax highlighting for a wide range of programming languages, helping to make your code snippets more readable and visually appealing.
  • Export Options
    Allows users to export images in various formats, including PNG and SVG, ensuring versatility for different use cases.

Possible disadvantages of Carbon

  • Limited Collaboration Features
    Carbon does not support collaborative editing, making it less ideal for team-based projects where multiple users might need to work on the same snippet simultaneously.
  • No Direct Code Editing Features
    Carbon focuses on code visualization and does not provide in-depth code editing capabilities, unlike full-featured code editors.
  • Dependency on Browser
    As a web-based tool, it requires an active internet connection and may be less convenient for users who prefer offline tools.
  • Performance Limitations
    For very large snippets or heavy customization, the tool may experience performance issues or slowdowns.
  • Limited Format Support
    Does not support exporting in all possible image formats or directly integrating into platforms like content management systems without manual steps.

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 Carbon

Overall verdict

  • Yes, Carbon is a good tool for creating and sharing visually appealing code snippets. It is widely appreciated in the developer community for its functionality and ease of use.

Why this product is good

  • Carbon (carbon.now.sh) is a popular tool for creating and sharing beautiful code snippets as images. It offers a clean interface, customizable themes, and syntax highlighting for numerous programming languages, making it an excellent choice for developers looking to present their code aesthetically. Its ease of use and ability to quickly generate high-resolution images are among its standout features.

Recommended for

  • Software developers looking to share code snippets on social media or blogs
  • Educators and technical writers who need to include code examples in their materials
  • Conference speakers and presenters preparing slides with code samples
  • Developers and designers seeking to build a portfolio showcasing their coding skills

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.

Carbon videos

+ Add

Adidas YEEZY 350 V2 Carbon REVIEW & GIVEAWAY

More videos:

  • Review - Need for Speed: Carbon review - ColourShed
  • Review - Carbon Movie Malayalam Review by Sudhish Payyanur | Monsoon Media

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 Carbon and Plotly)

Carbon

Plotly

Web App
100 100%
Web App
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Carbon and Plotly. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Carbon Reviews

We have no reviews of Carbon yet.
Be the first one to post

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, Carbon should be more popular than Plotly. It has been mentiond 175 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.

Carbon mentions (175)

  • Free Browser Tools for Developers Who Make Content
    Carbon and Ray.so overlap in purpose but have different strengths. Carbon gives you more control over fonts and padding — better for documentation screenshots where precise readability matters more than visual flair. When I'm writing a README or a technical guide I use Carbon. When I'm posting to social I use Ray.so. Both are free, both are browser-only. Best for: README code blocks, technical documentation,... - Source: dev.to / 5 months ago
  • I asked Gemini for a prototype… and Snipsco happened!
    Then I tried the free classics - Ray.so and Carbon.now.sh. - Source: dev.to / 6 months ago
  • 🚀 10 Tiny Dev Tools That Feel Like Superpowers (Free or Almost Free)
    Similar to Ray.so, but with more customization for code snippets. 🔗 https://carbon.now.sh. - Source: dev.to / about 1 year ago
  • Keynote tips: syntax highlighting
    Still, it's an option (a last resort one). If you have to do that, consider using some specialized code-to-image tool like carbon and not just crop an image of your editor. - Source: dev.to / about 1 year ago
  • Gist Share
    I was inspired by https://carbon.now.sh/ for sharing code snippets on social media but I wanted a tight integration with Github's Gists, a focus on embedding the code in posts like Markdown with access to the code. - Source: dev.to / about 1 year 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 / 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
View more

What are some alternatives?

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

Ray.so - Create beautiful images of your code

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.

Snappify - snappify is a great tool to create and adjust beautiful code snippets easily.

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

Karbonized - Awesome Image Generator for Code Snippets and Mockups

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.

Loading...