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Sketch 2 Code VS Plotly

Compare Sketch 2 Code VS Plotly and see what are their differences

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Sketch 2 Code logo Sketch 2 Code

Turn hand-drawn design into a HTML with AI. By Microsoft.

Plotly logo Plotly

Low-Code Data Apps
  • Sketch 2 Code Landing page
    Landing page //
    2022-01-07
  • Plotly Landing page
    Landing page //
    2023-07-31

Sketch 2 Code features and specs

  • Rapid Prototyping
    Sketch2Code allows designers and developers to quickly convert hand-drawn designs into HTML code, which accelerates the design process and enables rapid prototyping.
  • User-Friendly Interface
    The platform provides an easy-to-use interface that can be accessed through a browser, making it accessible to users with varying levels of technical expertise.
  • Seamless Integration
    Sketch2Code integrates with various Microsoft tools and services, which can streamline the workflow for teams already using those tools.
  • AI-Powered Conversion
    The tool utilizes artificial intelligence to accurately interpret hand-drawn sketches and convert them into functional HTML code, enhancing the accuracy of the conversion.
  • Cross-Platform Accessibility
    Being a web-based tool, it is accessible from multiple devices and platforms, providing flexibility to users working in different environments.

Possible disadvantages of Sketch 2 Code

  • Limited Customization
    The generated HTML code might require further customization and optimization to meet specific design requirements and performance standards.
  • Performance Dependence on Drawn Quality
    The accuracy of the generated code is heavily dependent on the clarity and quality of the initial hand-drawn sketches, which can vary between users.
  • Learning Curve
    Users unfamiliar with AI-driven design tools might face a learning curve in understanding how to get the best results from Sketch2Code.
  • Browser Dependency
    Since Sketch2Code is a web application, its performance can be affected by the browser's capability and internet connectivity.
  • Security Concerns
    Uploading designs to a cloud-based service may raise security and privacy concerns, particularly for sensitive or proprietary designs.

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.

Sketch 2 Code videos

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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 Sketch 2 Code and Plotly)

Sketch 2 Code

Plotly

Design Tools
100 100%
Design Tools
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Website Builder
100 100%
Website Builder
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 Sketch 2 Code and Plotly

Sketch 2 Code Reviews

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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 Sketch 2 Code. While we know about 34 links to Plotly, we've tracked only 1 mention of Sketch 2 Code. 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.

Sketch 2 Code mentions (1)

  • Is Microsoft getting evil ?
    Ok, this is fairly the new one (I heard a month ago) and most of you don't have any idea about what it is. Sketch2code converts your handsdrawn diagram into code (I am not saying that, Microsoft itself said that). But I have tested it and all I was left with is "what!". I mean how microsoft misebrely failed to convert my drawing into code. But it worked perfectly fine with the example provided in the website itself. - Source: dev.to / over 4 years 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 Sketch 2 Code and Plotly, you can also consider the following products

Anima App - Design, get feedback, convert to code, publish, iterate.

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.

PaintCode - PaintCode is a unique vector drawing app that generates Objective-C or Swift code in real time, acting as a bridge between developers and graphic designers.

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

QuartzCode - Turn vector drawing and animation to ObjC / Swift Code. Easily add any animation your iOS project, whether in vector or raster image without any coding.

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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