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Mesh Gradient VS Plotly

Compare Mesh Gradient VS Plotly and see what are their differences

Kimp
Kimp is an unlimited design company, specializing in graphic design (including print and digital designs, custom illustrations, landing page designs and email designs) and video design. featured
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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Mesh Gradient logo Mesh Gradient

Create beautiful gradients

Plotly logo Plotly

Low-Code Data Apps
  • Mesh Gradient Landing page
    Landing page //
    2020-03-03
  • Plotly Landing page
    Landing page //
    2023-07-31

Mesh Gradient features and specs

  • Aesthetic Appeal
    Mesh gradients provide a visually appealing and modern look, often used to create eye-catching designs and backgrounds due to their smooth and fluid color transitions.
  • Versatility
    They can be used in a variety of design contexts, from web backgrounds to branding elements, offering designers a flexible tool for enhancing visuals.
  • Enhanced Depth
    The use of gradients can add a sense of depth and dimension to flat designs, making them more engaging and dynamic.

Possible disadvantages of Mesh Gradient

  • Complexity in Design
    Creating a visually balanced mesh gradient can be challenging, requiring a good understanding of color theory and design skills to avoid clashing colors.
  • Resource Intensive
    High-resolution mesh gradients can increase the file size, potentially impacting website loading times if not optimized properly.
  • Accessibility Issues
    Gradients can sometimes cause readability issues, especially if used as backgrounds for text without proper contrast consideration.

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.

Mesh Gradient videos

+ Add

How to make Mesh Gradient in Photoshop (Top UI Trends of 2021 )

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 Mesh Gradient and Plotly)

Mesh Gradient

Plotly

Design Tools
100 100%
Design Tools
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Gradient Generator
100 100%
Gradient Generator
0% 0
Data Dashboard
0 0%
Data Dashboard
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 Mesh Gradient and Plotly

Mesh Gradient 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 should be more popular than Mesh Gradient. 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.

Mesh Gradient mentions (10)

  • How are these blurry background animations made?? (GSAP?)
    It’s called a mesh gradient and there are some generators for it if you want to take an easy route. For example https://meshgradient.com/. Source: almost 2 years ago
  • How do I make images like this?
    If you want a bit more control and want to set your own colours, you can try meshgradient.com. It's free and the final image is exported as a high-resolution PNG. Source: about 2 years ago
  • Is there a name for the moving soft gradient backgrounds? I've seen it on a lot of crypto/startup sites recently.
    You can download gradients, make them yourself with design software or gradient generators, and then animate them using basic CSS—Partiful uses a 12 second linear animation that basically scrolls a static gradient image. Source: over 2 years ago
  • Is this a type of gradient? What is it called and how can I learn how to reproduce?
    Mesh gradient - I use this site to create the CSS needed https://meshgradient.com/. Source: over 2 years ago
  • Use Mesh Gradients for aesthetic Notion cover
    If you are like me and struggle with finding an aesthetic cover for your Notion, I recommend you try out Mesh Gradients, the aesthetic is sooo good ;). Source: over 2 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 / 5 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 Mesh Gradient and Plotly, you can also consider the following products

MeshGradient.in - Generate & customizse beautiful and colorful mesh gradients. Download Mesh Gradients & Export in PNG

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.

Mesh Gradients by ls.graphics - Free, handmade mesh gradients for your next project 🍭

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

Web Gradients - Curated collection of 180 free fresh background gradients 🚀

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

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