Software Alternatives, Accelerators & Startups

Plotly VS Riskified

Compare Plotly VS Riskified and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

Riskified logo Riskified

eCommerce fraud prevention solution and chargeback protection guarantee for online merchants. Find out how we can help your company boost revenue from online sales using our machine-learning powered eCommerce fraud protection software.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Riskified Landing page
    Landing page //
    2023-10-20

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.

Riskified features and specs

  • Chargeback Guarantee
    Riskified offers a chargeback guarantee on approved transactions, meaning if a fraudulent transaction is approved by their system, Riskified will cover the cost of the chargeback, providing a financial safety net for merchants.
  • Increased Approval Rates
    Merchants often see increased approval rates because Riskified's advanced algorithms and machine learning models are tailored to accurately identify genuine customers, allowing more legitimate transactions to be approved.
  • Global Solution
    Riskified supports a wide range of payment methods and currencies, making it suitable for merchants with a global presence and varying customer demographics.
  • Seamless Integration
    The platform offers seamless integration with major e-commerce platforms and payment gateways, reducing the time and effort required for merchants to set up and begin protecting transactions.
  • Advanced Analytics
    Riskified provides merchants with detailed analytics and reporting tools, helping them understand transaction patterns, assess risk, and optimize their operations.

Possible disadvantages of Riskified

  • Cost
    The service can be relatively expensive for smaller businesses, especially those with thin margins, as the pricing model typically involves a fee per transaction or a percentage of the transaction value.
  • Complexity
    For businesses without a dedicated team for fraud prevention, understanding and leveraging all the features and data that Riskified provides can be complex and time-consuming.
  • Dependence on External Provider
    Relying on Riskified for fraud prevention places a critical aspect of the business's operations in the hands of an external provider. Any downtime or service issues with Riskified could directly impact transaction processing.
  • False Positives
    While Riskified aims to minimize false positives, there is always a risk that legitimate transactions may be wrongly declined, which can lead to customer dissatisfaction and potential loss of sales.
  • Customization Limits
    Some merchants may find that the level of customization available in Riskified's fraud prevention algorithms and workflows does not fully meet their unique business needs or preferences.

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 Riskified

Overall verdict

  • Riskified is generally considered a good solution for businesses looking to enhance their fraud detection and prevention capabilities. It is especially recommended for online retailers who wish to strike a balance between reducing fraud and maintaining a seamless customer experience.

Why this product is good

  • Riskified is a well-regarded eCommerce fraud prevention platform that leverages machine learning and big data to identify fraudulent transactions and boost conversion rates. It offers comprehensive solutions for chargeback protection, payment optimization, and account security. Many businesses appreciate its ease of integration, detailed analytics, and the ability to increase approval rates while minimizing fraud-related losses.

Recommended for

  • E-commerce companies
  • Online marketplaces
  • Retail businesses with significant online presence
  • Merchants dealing with high volumes of transactions
  • Businesses seeking advanced analytics for fraud insights

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

Riskified videos

Riskified Educational Webinar: Automating The Fraud Review Process (Summer Boot Camp - 2nd Webinar)

More videos:

  • Review - Riskified Educational Webinar: Optimal Manual Review (Summer Boot Camp - 3rd Webinar)
  • Review - Riskified : Nanoleaf case study

Category Popularity

0-100% (relative to Plotly and Riskified)
Data Visualization
100 100%
0% 0
eCommerce
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Fraud Prevention
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 Riskified

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.

Riskified Reviews

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

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 34 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 (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

Riskified mentions (0)

We have not tracked any mentions of Riskified yet. Tracking of Riskified recommendations started around Mar 2021.

What are some alternatives?

When comparing Plotly and Riskified, 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.

Signifyd - Signifyd is a SaaS-based, enterprise-grade fraud technology solution for e-commerce stores.

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

Kount - eCommerce fraud detection & prevention

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.

Sift - Digital Trust & Safety enables your business to grow, innovate, introduce new products, features, and business models โ€“ without increased risk.