Software Alternatives, Accelerators & Startups

Plotly VS Wicked Backgrounds

Compare Plotly VS Wicked Backgrounds and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

Wicked Backgrounds logo Wicked Backgrounds

Create beautiful background waves
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Wicked Backgrounds Landing page
    Landing page //
    2023-05-13

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.

Wicked Backgrounds features and specs

  • High-Quality Designs
    Wicked Backgrounds offers a wide range of visually appealing and professionally designed backgrounds that can elevate the aesthetic of various projects.
  • Customization Options
    The platform provides users with the ability to tailor background designs to fit specific needs, allowing for personalized creativity and flexibility.
  • Easy to Use
    The user interface of Wicked Backgrounds is intuitive and user-friendly, making it accessible even to individuals with minimal design experience.
  • Time-Saving
    Having access to ready-made backgrounds can save users a significant amount of time compared to creating designs from scratch.

Possible disadvantages of Wicked Backgrounds

  • Limited Free Options
    The range of free background options may be limited, requiring users to purchase premium designs for more variety and features.
  • Intellectual Property Concerns
    Users need to ensure that they have the necessary rights and permissions to use the background designs, especially in commercial projects.
  • Potential Overuse
    As backgrounds from Wicked Backgrounds may become popular, there is a possibility of designs being overused, leading to a lack of uniqueness.
  • Dependency on External Service
    Relying on Wicked Backgrounds means users are dependent on an external service for their designs, which could be a problem if there are service interruptions or changes in terms.

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.

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

Wicked Backgrounds videos

No Wicked Backgrounds videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Plotly and Wicked Backgrounds)
Data Visualization
100 100%
0% 0
Design Tools
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Productivity
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 Plotly and Wicked Backgrounds

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.

Wicked Backgrounds Reviews

We have no reviews of Wicked Backgrounds yet.
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Social recommendations and mentions

Based on our record, Plotly should be more popular than Wicked Backgrounds. 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.

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

Wicked Backgrounds mentions (4)

  • What is this type of styling called?
    Some website's that I've collected that use the styling I'm on about; Ionic.io, spline.design, wickedbackgrounds.com, coolbackgrounds.io,. Source: over 3 years ago
  • 3 Free super duper Tailwind CSS templates for your next project.
    Wicked Backgrounds, Create beautiful backgrounds waves for your next project. Source: over 3 years ago
  • Create beautiful SVG backgrounds for your UI designs.
    It's actually done! The thing is that this post is sharing just the generator page and not the landing page, which is https://wickedbackgrounds.com/. Source: over 3 years ago
  • I made a free background generator (SVG). 🌊
    Hi, I'm the maker of http://wickedbackgrounds.com/. Source: over 3 years ago

What are some alternatives?

When comparing Plotly and Wicked Backgrounds, you can also consider the following products

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.

Cool Backgrounds - Create fast, one-of-a-kind hero images for blogs & websites

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

plash - plash is a flexible container build and run engine.

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

Hero Patterns - A collection of repeatable SVG background patterns