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Plotly VS SVGcode

Compare Plotly VS SVGcode and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Plotly logo Plotly

Low-Code Data Apps

SVGcode logo SVGcode

SVGcode is a Progressive Web App that lets you convert raster images like JPG, PNG, GIF, WebP, AVIF, etc.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • SVGcode Landing page
    Landing page //
    2022-09-09

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.

SVGcode features and specs

  • Scalability
    SVGcode allows for the creation of vector graphics that are infinitely scalable, which means images remain crisp and clear at any size without loss of quality.
  • Editability
    SVG files are text-based and can be edited easily with any text editor, making it straightforward to adjust or animate graphics as needed.
  • Performance
    SVG elements can be manipulated by CSS and JavaScript, allowing for performance improvements and dynamic web designs.
  • Interactivity
    SVGcode supports rich interactivity, making graphics interactive without relying on external plugins or technologies.

Possible disadvantages of SVGcode

  • Complexity
    Working with SVGcode can become complex for intricate designs, as creating detailed SVGs might require a steep learning curve.
  • Browser Support
    While most modern browsers support SVGs, older versions might have inconsistencies, impacting accessibility and rendering.
  • Performance with Large Files
    SVGcode can lead to performance issues with very large or complex SVG files, as rendering might become slow.

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

+ 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

SVGcode videos

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

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Category Popularity

0-100% (relative to Plotly and SVGcode)

Plotly

SVGcode

Data Visualization
100 100%
Data Visualization
0% 0
Design Tools
0 0%
Design Tools
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Vector Graphic Editor
0 0%
Vector Graphic Editor
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 SVGcode

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

SVGcode Reviews

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

Based on our record, Plotly seems to be a lot more popular than SVGcode. While we know about 34 links to Plotly, we've tracked only 3 mentions of SVGcode. 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 / 4 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

SVGcode mentions (3)

  • How to generate these kinda images ?
    Here are some options -- potrace is free, or https://svgco.de/... there's also this extension that puts them in an a1111 extension. Illustrator also has a function for it, if you have access. Source: about 3 years ago
  • Years of academic training prepared me for this moment
    Oh op use this for png to svg conversion if you do not have better Ai or pro design tools. https://svgco.de. Source: about 3 years ago
  • Finishing Up Release 0.4
    This issue was about experimenting with SVGCode to see if it could be used to convert raster images to SVGs. I blogged about this process in my last post. I created a pull request which demoed the results of my research by including several SVGs that I created using SVGCode, Adobe Illustrator and Inkscape. Overall, I think that Inkscape produced the most consistent results for coloured and black and white images... - Source: dev.to / over 4 years ago

What are some alternatives?

When comparing Plotly and SVGcode, 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.

Vector Magic - Easily convert JPG, PNG, BMP, GIF bitmap images to SVG, EPS, PDF, AI, DXF vector images with real full-color tracing, online or using the desktop app!

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

Vectormaker - Convert images to SVG vectors, PNG-to-SVG.

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.

SVGConverter - Free Online SVG converter software that converts your PNG, JPG/JPEG, BMP, TIFF, WEBP, PDF to SVG, AI, EPS, PDF.

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