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UXpin VS Plotly

Compare UXpin VS Plotly and see what are their differences

Modelence
Create production-ready applications with zero code featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

UXpin logo UXpin

Design is really about solving problems. UXPin is the UX Design Platform that gets that right.

Plotly logo Plotly

Low-Code Data Apps
  • UXpin Landing page
    Landing page //
    2023-10-18
  • Plotly Landing page
    Landing page //
    2023-07-31

UXpin features and specs

  • Collaborative Design
    UXPin enables team collaboration by allowing multiple users to work on the same project simultaneously, providing real-time changes and feedback.
  • Usability Testing
    UXPin includes built-in usability testing tools, enabling designers to gather user feedback and improve the design before development.
  • Rich Interactive Prototypes
    It supports advanced interactive prototypes with conditional interactions, states, and variables, which can closely mimic the final product experience.
  • Design Libraries
    The platform provides access to design libraries and components that can be reused across projects, which ensures consistency and saves time.
  • Design Systems
    UXPin supports the creation and management of design systems, which helps maintain design coherence across different projects.
  • Integration with Development Tools
    It integrates with popular development tools like Slack, Jira, and GitHub, ensuring a smooth workflow from design to development.

Possible disadvantages of UXpin

  • Learning Curve
    The tool has a steep learning curve for new users, especially those unfamiliar with creating advanced interactive prototypes and design systems.
  • Performance Issues
    Some users have reported performance issues, particularly with larger projects, which can slow down the design process.
  • Cost
    UXPin can be relatively expensive compared to other design tools, which might not be ideal for smaller teams or individual designers.
  • Limited Offline Functionality
    The platform is primarily web-based, which limits its functionality when working offline.
  • Complex Interface
    The user interface can be complex and overwhelming, particularly for beginners or those switching from simpler design tools.

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.

UXpin videos

+ Add

UXPin: 2018 Feature Review

More videos:

  • Tutorial - UXPin: Tutorial for beginners

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 UXpin and Plotly)

UXpin

Plotly

Prototyping
100 100%
Prototyping
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Design Tools
100 100%
Design Tools
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using UXpin 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 UXpin and Plotly

UXpin Reviews

10 Best Figma Alternatives in 2024
It is another best Figma alternative that provides a number of features to make the UX/UI design process easier. With UXPin, you may start from scratch when designing solutions. However, you may also import Bootstrap or Material Design templates.
Source: www.geeksforgeeks.org
Top 10 Figma Alternatives for Your Design Needs | ClickUp
One of its stand-out features is UXPin Merge, with which you can design using React and ensure consistency across the board. This option lets you use the same components for design AND developmentโ€”all you need to do is choose the source of UI items and build prototypes that perfectly match your final product.
Source: clickup.com
9 Best InVision Alternatives to Switch to in 2024
UXPin is a collaborative design platform that allows you to create beautiful, detailed user interfaces in record time. The platform uses Merge Technology to help reuse the same building blocks and design components across the development process, maintaining a consistent interface.
Source: designmodo.com
Figma Alternatives: 12 Prototyping and Design Tools in 2024
Like the other design tools on the list, UXPin offers easy-to-use tools to create prototypes, mind maps, and other visual content with sophisticated details. Itโ€™s utilized by large companies such as Sony, Microsoft, Netflix, and more. Here are the main features and some reasons why we like it.
Source: mockitt.wondershare.com
5 Figma Alternatives for UI & UX Designers
If that doesnโ€™t sound crazy enough already, UXPin also provides support to integrate pre-existing Design Systems as the starting point for your next UI project. You can choose between Material UI, or browse the Adele directory for all the component libraries that UXPin supports.
Source: stackdiary.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 seems to be a lot more popular than UXpin. While we know about 34 links to Plotly, we've tracked only 1 mention of UXpin. 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.

UXpin mentions (1)

  • Another newbie question, I want to build a PWA, I thought bootstrap + Django would be enough. I understand I still need Javascript, I think I'm going with VueJS but I'm getting lost on what I'm doing in which framework. Details in post ๐Ÿ˜ฌ ๐Ÿ‘†๐Ÿป
    1st design a responsive website from templates that follow established design: UXPin.com . Most of the other prototyping solutions kinda felt like they're built for folks who can draw, sketch, or maybe organize their room and choose matching clothes. Not me. Not a designer, I can barely choose my own clothes, let alone design something. I can think in components though. I especially liked their storybook example.... Source: 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 / 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

What are some alternatives?

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

Adobe XD - Adobe XD is an all-in-one UX/UI solution for designing websites, mobile apps and more.ย 

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.

Invision - Prototyping and collaboration for design teams

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

Moqups - The most stunning HTML5 app for creating resolution-independent SVG mockups, wireframes & interactive prototypes for your next project

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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