Software Alternatives, Accelerators & Startups

Mockuuups Studio VS Plotly

Compare Mockuuups Studio VS Plotly and see what are their differences

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Mockuuups Studio logo Mockuuups Studio

Fast and easy way to create product mockups on macOS, Windows and Linux.

Plotly logo Plotly

Low-Code Data Apps
  • Mockuuups Studio Landing page
    Landing page //
    2022-04-28
  • Mockuuups Studio Mockup Generator - Mockuuups Studio
    Mockup Generator - Mockuuups Studio //
    2024-02-09

Mockuuups Studio is a super-easy mockup generator with over 4000 mockup scenes. The app is packed with everything you need to create product mockups, outstanding marketing materials, even visual content for social media or blog posts.

Instant Preview

Import a screenshot, and Mockuuups Studio takes care of the rest. The app automatically inserts & scales the design into hundreds of previews. Pick your favorite and export right away!

Custom Scenes with Studio

Pick a device, choose from diverse hands and mix with countless background combinations. Including transparent, colors, gradients, or stock photos.

Growing Library

More than 3500 high-quality scenes with various angles, different backgrounds, and device types are accessible from one place - no need to "google" and download mockups anymore.

Well-organized

Easily filter mockups based on your criteria. Are you looking for a scene with a transparent background and the latest version of the iPhone? No problem!

  • Plotly Landing page
    Landing page //
    2023-07-31

Mockuuups Studio

$ Details
freemium $20.0 / Monthly (40% off with an annual plan)
Platforms
Web Figma Mac OSX Windows Linux Cross Platform
Release Date
2016 November

Mockuuups Studio features and specs

  • Ease of Use
    Mockuuups Studio features a user-friendly interface that makes it simple for even beginners to create professional mockups with minimal effort.
  • Extensive Library
    The platform offers a large and diverse library of templates, which saves time and reduces the need for users to create mockups from scratch.
  • High-Quality Graphics
    The app provides high-resolution and quality graphics, which are ideal for professional presentations and marketing materials.
  • Cross-Platform Availability
    Mockuuups Studio is available for both Windows and macOS, allowing users from different operating systems to utilize its features.
  • Speed and Efficiency
    The tool is optimized for quick rendering of mockups, making the workflow faster and more efficient compared to many other tools.
  • Regular Updates
    The developers frequently update the software, adding new features, templates, and improvements to keep it current and effective.

Possible disadvantages of Mockuuups Studio

  • Cost
    While there is a free version, the most useful features and an extensive library of templates are locked behind a subscription plan, which might not be affordable for all users.
  • Limited Customization
    Though the template library is extensive, the customization options within those templates can be relatively limited compared to some other dedicated design tools.
  • Dependency on Internet Connection
    A stable internet connection is required to download new templates and receive updates, potentially limiting its usefulness in offline environments.
  • Occasional Bugs
    Like many software solutions, users may encounter occasional bugs or crashes, which can disrupt the mockup creation process.
  • Learning Curve for Advanced Features
    While basic functions are easy to use, mastering advanced features and getting the most out of the platform may require time and practice.

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 Mockuuups Studio

Overall verdict

  • Yes, Mockuuups Studio is a good tool for designers looking to create high-quality mockups efficiently. Its ease of use and vast library of assets make it a valuable resource for design professionals.

Why this product is good

  • Mockuuups Studio provides an intuitive and user-friendly platform for creating mockups quickly. It offers a wide range of device frames and backgrounds, making it ideal for designers who want to showcase their work in realistic settings. The ability to customize and export in high resolution is a significant advantage for professional use.

Recommended for

    Graphic designers, UI/UX designers, marketers, and product managers who need to create polished mockup presentations without spending excessive time on design 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.

Mockuuups Studio videos

Mockuuups Studio Sketch Plugin

More videos:

  • Review - Mockuuups Studio Review (Mac Square)
  • Review - Mockuuups Studio Review (Apps Every Day)
  • Review - Mockuuups Studio Review (Design Tool Tuesday by vaexperience)
  • Review - Mockuuups Studio Review in French Language (Kevin Palombo)

Plotly videos

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 Mockuuups Studio and Plotly)
Design Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
Prototyping
100 100%
0% 0
Data Dashboard
0 0%
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 Mockuuups Studio and Plotly

Mockuuups Studio 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.
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...
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.

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Mockuuups Studio. While we know about 33 links to Plotly, we've tracked only 3 mentions of Mockuuups Studio. 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.

Mockuuups Studio mentions (3)

Plotly mentions (33)

  • 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 / 3 months 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 / 5 months 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 / 7 months 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 1 year ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

What are some alternatives?

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

Placeit - Generate realistic product shots in seconds

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.

Smartmockups - Create stunning product mockups, easily and online.

Chart.js - Easy, object oriented client side graphs for designers and developers.

Mediamodifier - Create beautiful designs and product mockups in seconds.

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