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Plotly VS Swiper

Compare Plotly VS Swiper and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

Swiper logo Swiper

Swiper is the most modern free mobile touch slider with hardware accelerated transitions and amazing native behavior.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Swiper Landing page
    Landing page //
    2023-09-22

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.

Swiper features and specs

  • Responsive Design
    Swiper is built with mobile devices in mind and ensures responsiveness across a wide range of device sizes.
  • Modular Architecture
    Swiper allows for easy customization and optimization by enabling or disabling modules as needed.
  • Touch and Mouse Interaction
    Supports both touch gestures and mouse interactions, enhancing usability across devices.
  • Community and Resources
    Swiper has a large community and extensive documentation, making it easier to find support and resources.
  • No Dependencies
    Swiper is a standalone library that doesn't require jQuery or other libraries, reducing file size and complexity.

Possible disadvantages of Swiper

  • Complexity for Beginners
    The modular system and advanced features might be overwhelming for users new to Swiper or JavaScript.
  • Performance on Older Devices
    While optimized, Swiper's rich features could lead to performance issues on older devices.
  • Limited Built-in Themes
    Swiper offers limited design themes out of the box, necessitating custom styles for complex designs.
  • Learning Curve
    Understanding and implementing various configurations can be challenging without prior experience.
  • Compatibility Issues
    Some advanced features may not be fully compatible with all browsers, requiring additional testing and fixes.

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

+ 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

Swiper videos

+ Add

Q-Swiper BBQ Grill Cleaner - Review & Demonstration

Category Popularity

0-100% (relative to Plotly and Swiper)

Plotly

Swiper

Data Visualization
100 100%
Data Visualization
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Javascript UI Libraries
0 0%
Javascript UI Libraries
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 Swiper

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

Swiper Reviews

We have no reviews of Swiper yet.
Be the first one to post

Social recommendations and mentions

Plotly might be a bit more popular than Swiper. We know about 33 links to it since March 2021 and only 26 links to Swiper. 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

Swiper mentions (26)

  • My Webflow Toolkit: Tools, Tips, and Resources I use daily
    For carousels I would say Swipper is definitely the best option. - Source: dev.to / 15 days ago
  • TOP React Liabraries and tools you Need
    Swiper is a powerful library for creating smooth and responsive sliders or carousels in your web applications. It's perfect for showcasing product images, displaying content in a compact space, or creating interactive slideshows. Swiper offers a wide range of customization options, including different transition effects, navigation controls, and automatic slide progression. Whether you're building a mobile app or... - Source: dev.to / 10 months ago
  • Create animated columns of tiles with a background-images fade in and fade out
    Additionally, I will wrap all the columns inside a responsive slider (using Swiper) to control the number of columns displayed on different screen sizes. - Source: dev.to / 11 months ago
  • Let’s Get Hands-On with WordPress FSE Theme and Custom Blocks — Part 1
    Now, finally, some code. This block is moderately complex but perfect for explaining the integration between PHP and React. We will create a gallery with a management interface on the dashboard side. We’ll use SwiperJS library for the gallery’s JavaScript and import it into our block. The build process will be explained in the second part of the article because it differs somewhat from the standard process. - Source: dev.to / 12 months ago
  • I introduced the word guessing game in my vocabulary app
    Well, I wrote some codes to fetch data and feed those data to the SwiperJS so that the user can navigate to each card smoothly. - Source: dev.to / about 1 year ago
View more

What are some alternatives?

When comparing Plotly and Swiper, 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.

Slider Revolution - Slider Revolution is more than just a WordPress slider. It helps beginner-and mid-level designers WOW their clients with pro-level visuals.

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

Crelly Slider - An open source responsive slider for WordPress that supports layers. Create slides with texts, images and videos using a powerful Drag & Drop Builder.

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

Ultimate Responsive Image Slider - The site is being updated.Stay Tuned!If you have any support/product query please directly mail me at “farazfrank777@gmail.com”.Really sorry for the inconvenience. ThanksFrank

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