Software Alternatives, Accelerators & Startups

Neumorphic Generator VS Plotly

Compare Neumorphic Generator VS Plotly and see what are their differences

Neumorphic Generator logo Neumorphic Generator

Delightful CSS presets for your next product

Plotly logo Plotly

Low-Code Data Apps
  • Neumorphic Generator Landing page
    Landing page //
    2020-06-21
  • Plotly Landing page
    Landing page //
    2023-07-31

Neumorphic Generator features and specs

  • Visually Appealing Design
    Neumorphic Generator creates a soft, tactile aesthetic for UI components that is visually appealing and modern, making interfaces look more engaging and immersive.
  • Easy to Use
    The tool provides a user-friendly interface for designing neumorphic components without requiring extensive knowledge of CSS or design software, enabling quick generation of styles.
  • Customizable Outputs
    Users can easily adjust parameters such as color, shadow, and border radius to get the desired neumorphic effect, offering flexibility in design.
  • Efficient Workflow
    By automating the creation of neumorphic styles, the generator helps designers save time in developing consistent UI components for projects.

Possible disadvantages of Neumorphic Generator

  • Limited Design Scope
    Neumorphism might not suit all types of designs, particularly those requiring bold contrasts or accessibility-focused interfaces, limiting its application in certain projects.
  • Accessibility Concerns
    Neumorphic designs often suffer from low contrast issues, potentially making them less accessible to users with visual impairments, which requires additional design considerations.
  • Performance Overheads
    The heavy use of shadows and gradients to achieve the neumorphic look can result in more complex CSS styles that may impact loading times and runtime performance on less powerful devices.
  • Trend-dependent
    Neumorphism is style-trend dependent, and what might be visually impressive now could become outdated quickly as design trends evolve.

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.

Neumorphic 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 Neumorphic Generator and Plotly)
Design Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
Developer Tools
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 Neumorphic Generator and Plotly

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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 Neumorphic Generator. While we know about 33 links to Plotly, we've tracked only 1 mention of Neumorphic Generator. 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.

Neumorphic Generator mentions (1)

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
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What are some alternatives?

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

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

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.

Papermine - Create stunning digital booklets.

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

Glass UI Generator - CSS generator for glassmorphism

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