Software Alternatives, Accelerators & Startups

Plotly VS Stripe Dashboard

Compare Plotly VS Stripe Dashboard 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.

Plotly logo Plotly

Low-Code Data Apps

Stripe Dashboard logo Stripe Dashboard

Activate the preview of the refreshed Dashboard now
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Stripe Dashboard Landing page
    Landing page //
    2021-09-17

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.

Stripe Dashboard features and specs

  • User-Friendly Interface
    The Stripe Dashboard is designed with a clean, intuitive interface that makes it easy for users to navigate through features, track payments, and view financial activity.
  • Comprehensive Analytics
    It provides detailed insights into transaction data, allowing businesses to monitor performance, trend analysis, and forecast revenue accurately.
  • Real-Time Reporting
    The dashboard offers real-time reporting functionalities that help users make informed decisions promptly by providing up-to-the-minute information about transactions.
  • Customizable Reports
    Users can create customized reports according to their needs, enabling them to focus on specific metrics that are vital to their business operations.
  • Seamless Integration
    Stripe Dashboard integrates smoothly with various third-party applications and services, which enhances its functionality and expands capabilities for business use.

Possible disadvantages of Stripe Dashboard

  • Steep Learning Curve for Beginners
    New users or those unfamiliar with payment processing systems might find it challenging to fully utilize the dashboard's features without substantial initial guidance.
  • Limited Customer Support
    While Stripe offers customer support, some users may find it less responsive at times, particularly when handling complex or unique issues that require rapid resolution.
  • Costs for High Volume Users
    For businesses that process a large number of transactions, the costs associated with Stripe’s fees could become significant, impacting profitability over time.
  • Dependence on Internet Connection
    Since the dashboard is browser-based, it requires a stable internet connection, which can be a limitation for users in areas with unreliable connectivity.
  • Potential for Overwhelming Data
    The abundance of available data and reports might be overwhelming for users who are not accustomed to dealing with large sets of information, which might hinder efficient decision-making.

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

Stripe Dashboard videos

Using the Stripe Dashboard

Category Popularity

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

User comments

Share your experience with using Plotly and Stripe Dashboard. 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 Plotly and Stripe Dashboard

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.

Stripe Dashboard Reviews

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

Social recommendations and mentions

Based on our record, Plotly should be more popular than Stripe Dashboard. 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 / about 1 month 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 / 3 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 / 5 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 / 11 months 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

Stripe Dashboard mentions (9)

  • Build and deploy a Next.js ecommerce website in 5 steps
    Add your Stripe API keys to the .env.local file. Find your Stripe API keys in the Stripe dashboard. - Source: dev.to / about 1 year ago
  • Creating a stripe connect account.
    Https://dashboard.stripe.com/login?redirect=%2Fsettings%2Fconnect. - Source: dev.to / almost 2 years ago
  • Trouble obtaining 2022 tax forms
    I had this issue. Go here https://dashboard.stripe.com/login. Source: about 2 years ago
  • Where do we get our 1099's.
    Download the Stripe Express app, or use the web version and go through the steps to connect it with your Instacart shopper account. It's legit. Source: about 2 years ago
  • 1099?
    You get it from Stripe. You should have gotten an email from them or DoorDash to set it up in December. Set up an account there if you haven't already. They might have it. Https://dashboard.stripe.com/login. Source: about 2 years ago
View more

What are some alternatives?

When comparing Plotly and Stripe Dashboard, 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.

Infinity Dashboard - A beautiful way to keep track of anything you want 📊

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

Dashboard UI Kit - A modern & responsive dashboard UI kit for designers.

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

Nomod - Accept card payments on your phone, anytime, anywhere