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Boxy SVG VS Plotly

Compare Boxy SVG 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

Boxy SVG logo Boxy SVG

Boxy SVG is a vector graphic editor built for the modern web.

Plotly logo Plotly

Low-Code Data Apps
  • Boxy SVG Landing page
    Landing page //
    2023-10-21
  • Plotly Landing page
    Landing page //
    2023-07-31

Boxy SVG features and specs

  • User-Friendly Interface
    Boxy SVG offers a clean and intuitive interface that makes it easy for users, especially those new to vector graphics, to learn and use quickly.
  • Cross-Platform Support
    The application is available on MacOS, Windows, Linux and as a web app, ensuring that users can work across different operating systems seamlessly.
  • Lightweight
    Boxy SVG is a lightweight application, which means it runs smoothly without consuming excessive system resources.
  • Integration with Other Tools
    It comes with good integration capabilities, making it easy to work with other design tools and software.
  • Affordable Pricing
    Boxy SVG offers an affordable pricing model compared to some of the more expensive vector graphic design tools available.

Possible disadvantages of Boxy SVG

  • Limited Advanced Features
    While it covers most basic and intermediate features, it may lack some of the advanced tools that professionals might need.
  • Web App Performance
    The web app version might not be as fast or responsive as the native desktop applications, which could affect user experience.
  • Niche Market
    Boxy SVG may not be as well-known or widely adopted as other more established vector graphic design tools, which might affect community support and resources.
  • File Format Limitations
    Although primarily designed for SVG files, it doesn't offer as robust file compatibility options as some other graphic design software.
  • Limited Third-Party Plugin Support
    The application does not support as many third-party plugins and extensions as some of its competitors, limiting customization options.

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 Boxy SVG

Overall verdict

  • Boxy SVG is a great tool for users looking for a straightforward and efficient vector graphics editor. Its intuitive design and comprehensive feature set make it a solid choice for creating and editing SVG files without the complexity of more advanced graphic design software.

Why this product is good

  • Boxy SVG is a web-based vector graphics editor that is praised for its simplicity and ease of use. It offers a user-friendly interface that is approachable for both beginners and experienced designers. The tool supports various SVG features, making it suitable for creating complex vector illustrations, logos, and icons. Furthermore, Boxy SVG is accessible online, eliminating the need for software installation and allowing for cross-platform use.

Recommended for

  • Beginners looking for an easy-to-use vector graphics editor
  • Designers who need a lightweight and accessible tool
  • Developers who require quick editing of SVG files
  • Anyone seeking a cost-effective alternative to more complex vector editing software

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.

Boxy SVG videos

+ Add

Boxy SVG 2 Getting Started with Boxy SVG

More videos:

  • Review - Boxy SVG | Text and Fonts
  • Review - Boxy SVG 7 tracing images

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 Boxy SVG and Plotly)

Boxy SVG

Plotly

Graphic Design Software
100 100%
Graphic Design Software
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Vector Graphic Editor
100 100%
Vector Graphic Editor
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Boxy SVG 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 Boxy SVG and Plotly

Boxy SVG Reviews

6 Best Free Adobe Illustrator Alternatives For Designers
Boxy SVG is one of the best browser-based alternatives to Adobe Illustrator. It creates scalable vector graphic files and includes basic tools such as basic shapes, text, bezier curves, pens and the capability to add paths, transforms, and types. The USP of the app is that it has an insanely simple user interface. Thus, itโ€™s a quick tool to learn. You can export files in PNG...
Source: wethegeek.com
The best free Adobe Illustrator vector alternatives in 2022
The main selling point for Boxy SVG is the utter simplicity of its UI. It makes a virtue of paring down the experience of creating vector graphics to a fairly minimal set of options. These essentially restrict you to the kind of things that the SVG format is good at. As a result, itโ€™s fast, easier to pick up than Illustrator, and the files it creates are clean and efficient.
Source: www.techradar.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, Plotly should be more popular than Boxy SVG. 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.

Boxy SVG mentions (21)

  • Show HN: VectorNest responsive web-based SVG editor
    How much time did it take you to build it? For the past several years I have been working full on an SVG editor myself (https://boxy-svg.com) and I get a bit anxious when I see what LLMs are capable of nowadays. - Source: Hacker News / 6 months ago
  • Create a Custom Interactive dashboard using SVG
    Oh this is amazing. I'm using https://boxy-svg.com/ for SVGs generated by Claude, and then edit and update it myself. SVG is very powerful. - Source: Hacker News / 11 months ago
  • Show HN: Hyvector โ€“ A fast and modern SVG editor
    You could also check the "Vectorize" generator in Boxy SVG which also uses imagetracerjs under the hood: https://boxy-svg.com/#demo-tracing. - Source: Hacker News / over 1 year ago
  • Inkscape 1.4 Released
    I'm working on Boxy SVG which combines vector drawing and animation tools: https://boxy-svg.com. - Source: Hacker News / almost 2 years ago
  • SVG Triangle of Compromise
    Boxy SVG editor comes with built-in support for creation and editing of SVG icon sprites. You can play with a sample SVG sprite here [1]. Individual icons are shown under "Defs Panel -> Symbols", to make objects recolorable you have to select them and then click "Fill Panel -> Paint -> Type -> Inherit". [1] https://boxy-svg.com/#demo-symbols. - Source: Hacker News / about 2 years 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 Boxy SVG and Plotly, you can also consider the following products

Inkscape - Inkscape is a free, open source professional vector graphics editor for Windows, Mac OS X and Linux.

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.

Affinity Designer - Professional creative software, exclusively for Mac.

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

CorelDRAW Graphics Suite - Empower your creativity with CorelDRAW Graphics Suite 2018, packed with powerful features and updates to transform creative ideas into visually stunning designs! Learn more or download a free trial today!

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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