Software Alternatives, Accelerators & Startups

Glass UI Generator VS Plotly

Compare Glass UI Generator VS Plotly and see what are their differences

Glass UI Generator logo Glass UI Generator

CSS generator for glassmorphism

Plotly logo Plotly

Low-Code Data Apps
  • Glass UI Generator Landing page
    Landing page //
    2022-04-10
  • Plotly Landing page
    Landing page //
    2023-07-31

Glass UI Generator features and specs

  • User-Friendly Interface
    The Glass UI Generator offers an intuitive and easy-to-navigate interface, making it accessible for users with various levels of design experience.
  • Customizability
    It provides a variety of customization options, allowing designers to tweak elements like colors, transparency, and effects to suit their specific needs.
  • Time Efficient
    By automating parts of the design process, it helps users quickly generate glass UI elements, saving time on manual design work.

Possible disadvantages of Glass UI Generator

  • Limited Scope
    The tool might offer limited design elements, which could restrict designers looking for more complex or varied UI components.
  • Dependency on Templates
    Users may become reliant on predefined templates, potentially stifling creativity and leading to less unique outputs.
  • Performance Issues
    Highly detailed glass UI elements can be resource-intensive, potentially affecting the performance of applications that implement them.

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.

Glass UI Generator videos

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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 Glass UI Generator and Plotly)
Design Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
Developer Tools
45 45%
55% 55
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 Glass UI Generator and Plotly

Glass UI Generator 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 should be more popular than Glass UI Generator. It has been mentiond 33 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.

Glass UI Generator mentions (6)

  • Top 5 CSS Generators to Make Developer Life Easier!
    Resource: Glassmorphism Generator Pro Tip: Use subtle glass effects for cards and modals to make your UI stand out while keeping it elegant. - Source: dev.to / 5 months ago
  • The backdrop-filter CSS property has been unprefixed
    There are even dedicated generators such as the aptly named Glassmorphism CSS Generator that spit out a CSS snippet with the property. If you have used that generator, you are lucky because it includes the prefixed version of the property for you, so you avoided a Safari mishap! - Source: dev.to / 11 months ago
  • Tools that every frontend developer should have bookmarked
    Build semi-transparent, blurred glass-like backgrounds. Similar to ui.glass/generator. - Source: dev.to / over 2 years ago
  • Digital Clock using JavaScript
    Next, we have a container and card with glassmorphism effect. I have created this Glassmorphic effect using Glass UI. - Source: dev.to / almost 3 years ago
  • How to Implement and Style the Dialog Element
    You can use this if you'd like a quick and dirty way to achieve the glass effect: https://ui.glass/generator/. Source: over 3 years ago
View more

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 / about 2 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 / 4 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 / 6 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 / 11 months 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 Glass UI Generator and Plotly, you can also consider the following products

Tailwind Box Shadows - A curated list of box shadows for your next web project.

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.

Clippy - CSS Clip-path Maker - Drag and points to generate clip-path CSS

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

Neumorphism UI - Neumorphism inspired UI web components, sections and pages

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