Software Alternatives, Accelerators & Startups

Plotly VS Klarna

Compare Plotly VS Klarna and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

Klarna logo Klarna

Klarna provides e-commerce payment solutions for merchants and shoppers.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Klarna Landing page
    Landing page //
    2023-09-23

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.

Klarna features and specs

  • Flexible Payment Options
    Klarna offers multiple payment options including Pay in 4, Pay Later, and financing plans, providing flexibility for customers to choose a payment method that suits their financial situation.
  • Interest-Free Payments
    For some payment plans like Pay in 4 and Pay Later, Klarna doesn't charge interest, making it an affordable option for short-term financing.
  • Smooth User Experience
    Klarna's platform is user-friendly and integrates seamlessly with numerous online retailers, enhancing the customer's shopping experience.
  • Buyer Protection
    Klarna provides buyer protection mechanisms which ensure that youโ€™re only required to pay for goods that are delivered as expected.
  • Wide Acceptance
    Klarna is accepted at thousands of retailers, both large and small, making it accessible for a broad user base.
  • App Features
    The Klarna app offers features like price drop alerts, shopping lists, and other tools that enhance the shopping experience.

Possible disadvantages of Klarna

  • Potential for Debt Accumulation
    The ease of purchase and delayed payment options may encourage overspending, potentially leading customers to incur debt.
  • Late Fees
    If payments are missed, Klarna charges late fees which can add up over time, impacting the overall cost of the purchase.
  • Credit Impact
    Late payments or failure to meet the repayment terms could potentially affect your credit score.
  • Eligibility
    Not all customers are eligible for Klarnaโ€™s financing options as approvals are based on a soft credit check and other criteria.
  • Merchant Fees
    Retailers are required to pay fees to use Klarna for their payment processing, which could be a limiting factor for some smaller businesses.
  • Limited Service Availability
    Klarna's services are primarily available in specific countries. Customers outside these regions may not be able to use Klarna.

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.

Analysis of Klarna

Overall verdict

  • Klarna can be a good option for shoppers looking for flexible payment plans and a convenient checkout experience. However, it may not be suitable for everyone, especially for those who may have difficulty keeping track of their payments or managing debt responsibly.

Why this product is good

  • Klarna is a popular payment service provider known for its 'buy now, pay later' options, allowing consumers to purchase products and pay for them over time. It offers convenience and flexibility for shoppers who want to manage their cash flow more effectively. Klarna is integrated with many online retailers, making it a widely accessible payment option. Additionally, Klarna's checkout process is streamlined, providing a user-friendly experience for online shopping.

Recommended for

    Online shoppers who prefer flexible payment options, those who want to spread out the cost of purchases over time without immediate financial strain, and individuals looking for a convenient checkout experience with a user-friendly interface.

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

Klarna videos

Klarna Review: What is Klarna Ghost Card?

More videos:

  • Review - REACTION TO KLARNA | Why Klarna annoys me (DONT FALL INTO THIS TRAP) | HOW DOES KLARNA WORK REVIEW
  • Review - Is โ€œBuy Now, Pay Later" Worth It? | AfterPay, Klarna, etc.

Category Popularity

0-100% (relative to Plotly and Klarna)
Data Visualization
100 100%
0% 0
Online Payments
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Business & Commerce
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 Klarna

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 thatโ€™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.

Klarna Reviews

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

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Klarna. While we know about 34 links to Plotly, we've tracked only 1 mention of Klarna. 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 (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
  • 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 / over 1 year 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 / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    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 / over 1 year 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 2 years ago
View more

Klarna mentions (1)

  • web scrapping Klarna.com isn't easy
    I am trying to scrape klarna.com/us but whenever I make a requests for the sub categories and beyond am faced with an error message. I first noticed this when I open it on incognito, and ever since have tried request, selenium, playwright and even searching for private APIs but to no avail. I have tried getting the cookies ass well from the home page and persisting it in other request but it doesn't seem to work. Source: almost 4 years ago

What are some alternatives?

When comparing Plotly and Klarna, 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.

PayPal - PayPal is the faster, safer way to pay online without sharing financial details, send and receive money or accept credit and debit cards as a seller

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

Affirm - Pay at your own pace. When you buy with Affirm, you always know exactly what youโ€™ll owe and when youโ€™ll be done paying.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

Splitit - Splitit is a solution that enables consumers to pay for their Retail or Web purchases using their existing credit cards and divide the total cost across as many interest-free payments as they choose, without completing a credit application or qualifโ€ฆ