Software Alternatives & Startups

Stripe VS Plotly

Compare Stripe VS Plotly and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Stripe logo Stripe

Online payment processing for internet businesses. Stripe is a suite of payment APIs that powers commerce for online businesses of all sizes. Use Stripe’s payment platform to accept and process payments online for easy-to-use commerce solutions.

Plotly logo Plotly

Low-Code Data Apps
  • Stripe Landing page
    Landing page //
    2024-04-30
  • Plotly Landing page
    Landing page //
    2023-07-31

Stripe features and specs

  • Comprehensive API
    Stripe offers a robust and well-documented API that allows businesses to customize their payment processing to suit their specific needs.
  • Global Reach
    Stripe supports payment processing in multiple countries and currencies, making it ideal for businesses with international clientele.
  • Advanced Security
    Stripe provides advanced security features, such as PCI DSS compliance and fraud prevention tools, ensuring that both businesses and customers are protected.
  • Scalability
    Stripe is suitable for businesses of all sizes, from startups to large enterprises, offering solutions that scale with the business's growth.
  • Rich Feature Set
    In addition to payment processing, Stripe offers a wide range of features including subscription billing, invoicing, and marketplace payments.
  • Integration with Popular Platforms
    Stripe easily integrates with popular e-commerce platforms like Shopify, WooCommerce, and Magento, simplifying the setup process.

Possible disadvantages of Stripe

  • Costly for High-Volume Businesses
    Stripe's transaction fees can become expensive for high-volume businesses, especially when compared to other payment processors that offer volume-based discounts.
  • Complex Setup
    For businesses without a dedicated developer or technical team, setting up Stripe’s API and customizing it can be complex and time-consuming.
  • Limited Customer Support
    Some users have reported that Stripe's customer support can be slow to respond and may not always provide satisfactory solutions to issues.
  • Account Stability
    There have been instances where Stripe has abruptly terminated accounts or held funds, causing disruptions to businesses.
  • Subject to Chargebacks
    Like other payment processors, Stripe is not immune to chargebacks, which can be a significant issue for certain types of businesses.

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.

Analysis of Stripe

Overall verdict

  • Yes, Stripe is generally considered a good choice for businesses looking for reliable and flexible payment processing solutions. It is praised for its developer-friendly design and its capability to support complex billing models.

Why this product is good

  • Stripe is widely regarded as a good payment processing platform due to its ease of use, robust API, comprehensive documentation, and the ability to handle various payment methods across multiple countries. It also offers advanced security features, fraud prevention tools, and a scalable infrastructure suitable for businesses of all sizes.

Recommended for

  • E-commerce businesses seeking a reliable payment gateway
  • Developers looking for a customizable and programmer-friendly API
  • Startups and SMEs for scalability and ease of integration
  • Global businesses that need multi-currency support and international payment options

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.

Stripe videos

PayPal VS Stripe 2020: Which Online Payment Processor Is Best For Your Business?

More videos:

  • Review - Stripe Review Video
  • Review - BEWARE: CLOSE YOUR STRIPE ACCOUNT!!! *BEFORE THEY DO*

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 Stripe and Plotly)
Online Payments
100 100%
0% 0
Data Visualization
0 0%
100% 100
Recurring Billing
100 100%
0% 0
Charting Libraries
0 0%
100% 100

User comments

Share your experience with using Stripe and Plotly. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Stripe and Plotly

Stripe Reviews

  1. Word.Studio
    · Editor at Word.Studio ·
    Streamlined payments for SaaS

    We've had a good experience with Stripe so far. Very easy to get up and running and the dashboard stats are very useful. Able to take payments directly on our site. Also has a mobile app that allows you to keep an eye on things and compare month over month, etc.

    Competitors: PayPal, Paddle
    Pros:    Simple|Reliable|Take multiple payment types

The 8 Best Payment Processing Systems
Stripe offers a more general solution sure to suit any online retailer. It’s highly customisable, meaning you can choose from a variety of APIs to match its service to your own website best. You can accept credit and debit card payments in over 100 currencies and cryptocurrencies. To start using Stripe, you'd benefit from having some developer time at your disposal, as it's...
Source: gocardless.com
Subscription Billing Solutions Comparison: Stripe vs Recurly vs Chargebee vs Rainex
Stripe is one of the world’s largest payment processing platforms, trusted by their customers for many years. In addition to gateway features, for a fee, Stripe offers billing and subscription management tools for its users. Its intuitive interface and extensive documentation make it a favorite among developers and companies of different sizes.
Source: rainex.io
Top 5 Payoneer Alternatives for Seamless Online Transactions
Key Features: A powerful payment processing platform focused on online businesses, offering features like subscriptions and fraud prevention. Stripe boasts a unified suite of tools and APIs that simplify the entire online payment process for businesses.
Source: www.doola.com
What to Use Instead of PayPal? 10 Best PayPal Alternatives
Conveniently, Stripe automatically deposits your funds into your bank account. Another convenient feature of Stripe is that the checkout process takes place on your website. That reduces customer friction compared to platforms like PayPal, which sends customers to external sites. The platform is also highly customisable.
The 6 best online payment processing services in 2024
Part of the HubSpot Commerce Hub feature set, Payments adds payment processing on top of a mountain of possibilities. It's seamlessly connected to all other parts of this sales software, so you can manage your business relationships, marketing, website, content, and operations from the same place. The actual payment infrastructure belongs to Stripe, with HubSpot charging...
Source: zapier.com

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, Stripe should be more popular than Plotly. It has been mentiond 302 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.

Stripe mentions (302)

  • Does this website look vibe coded?
    Oh okay so is it the gradient? But https://stripe.com/ also has gradients no? - Source: Hacker News / 19 days ago
  • SEO audits in Claude + Cursor: our new MCP server
    "Audit https://stripe.com and tell me the top 3 things to fix.". - Source: dev.to / 2 months ago
  • I built an open-source browser agent that turns any website into structured JSON
    Bw "https://stripe.com" "what does this company do and who is it for". - Source: dev.to / 3 months ago
  • Turn any company website into structured B2B data (one API call)
    { "url": "https://stripe.com", "cached": false, "data": { "company_name": "Stripe, Inc.", "sector": "Financial Technology / Payments", "description": "Stripe is a financial infrastructure platform for businesses...", "social_links": { "linkedin": "https://www.linkedin.com/company/stripe", "twitter": "https://twitter.com/stripe", "github": "https://github.com/stripe" }, ... - Source: dev.to / 3 months ago
  • When the Merchant Is Real but the Funnel Still Says No
    Stripe — https://stripe.com/ Buyer: Head of Global Onboarding, Director of Merchant Risk, or GM for an expansion region. Budget bucket: risk operations, onboarding conversion, or international expansion QA. Monthly budget: $40,000 to $80,000 if used as a recurring launch-readiness and regression-testing program across several countries. - Source: dev.to / 4 months ago
View more

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 / 6 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!🤓
    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 / almost 2 years 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

What are some alternatives?

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

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

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 Braintree - An all-in-one solution to accept, process, and split payments in your mobile app or online - from small business to large enterprise.

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

Chargebee - Chargebee lets you manage subscriptions and payments at scale, handle custom recurring billing scenarios, reduce subscription churn and simplify accounting.

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.