Software Alternatives, Accelerators & Startups

Mesh Gradients by ls.graphics VS Plotly

Compare Mesh Gradients by ls.graphics VS Plotly and see what are their differences

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Mesh Gradients by ls.graphics logo Mesh Gradients by ls.graphics

Free, handmade mesh gradients for your next project 🍭

Plotly logo Plotly

Low-Code Data Apps
  • Mesh Gradients by ls.graphics Landing page
    Landing page //
    2021-10-13
  • Plotly Landing page
    Landing page //
    2023-07-31

Mesh Gradients by ls.graphics features and specs

  • High-Quality Gradients
    Mesh Gradients by ls.graphics offers high-quality, visually appealing gradients that can enhance the aesthetic of any design project.
  • Versatility
    The gradients can be used in various design scenarios, including web design, app design, digital art, and more, making them highly versatile.
  • Ease of Use
    The gradients are easy to implement in design tools like Adobe Illustrator, Figma, and Sketch, which streamlines the design process.
  • Customization
    Designers can customize the gradients to better fit their project needs, providing a higher degree of flexibility and creative control.
  • Professional Look
    Using these gradients can give designs a polished, professional appearance that can help them stand out in a competitive marketplace.

Possible disadvantages of Mesh Gradients by ls.graphics

  • Cost
    The Mesh Gradients by ls.graphics are a paid product, which might be a drawback for designers on a tight budget or those looking for free alternatives.
  • Learning Curve
    While generally easy to use, some designers, particularly beginners, may face a learning curve when customizing these gradients effectively.
  • File Compatibility
    Certain file formats may not be compatible with all design tools, potentially limiting their usage depending on the designer's software of choice.
  • Resource Intensity
    High-quality gradients can be resource-intensive, potentially slowing down performance in less powerful design tools or on older computer systems.
  • Overuse Risk
    There's a risk that overusing these gradients could lead to a homogenized look across different designs, reducing uniqueness and creativity.

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 Gradients by ls.graphics 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 Mesh Gradients by ls.graphics and Plotly)
Design Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
Gradient Generator
100 100%
0% 0
Data Dashboard
0 0%
100% 100

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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 Mesh Gradients by ls.graphics. While we know about 33 links to Plotly, we've tracked only 1 mention of Mesh Gradients by ls.graphics. 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 Gradients by ls.graphics 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 1 month 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 Gradients by ls.graphics and Plotly, you can also consider the following products

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

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.

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

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

Design Gradients - A free website for anyone looking for beautiful gradients for any project, curated by designers.

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