
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Sezzle
PayPal Credit
Splitit
Kiva
Klarna
ViaBill
FuturePay
Afterpay
Plotly
SezzlePlotly 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.
Based on our record, Plotly seems to be a lot more popular than Sezzle. While we know about 34 links to Plotly, we've tracked only 2 mentions of Sezzle. 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.
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
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
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
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
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
The ultimate goal for any business owner is to get their customers to pay for their products and services. This can be easy sometimes. Or this can be a bit challenging. Thanks to today's economy, many will attest that it is much more challenging than it was before. People generally do not want to spend their money on just about anything. You may have the greatest product of all time or the most popular online... Source: almost 4 years ago
Are you an online shopper? If yes, you are sure to have come across certain bright-colored icons on certain stores' online platforms. These ads exhort consumers to split the price of the item they plan to buy into smaller installments. The Internet abounds in lenders offering such a facility. Aimed at the younger generation, they promise an affordable, more secure alternative for a credit card. With no interest or... Source: almost 4 years ago
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 Credit - PayPal Credit provides financing options to businesses.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
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 qualifโฆ
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.
Kiva - Loans that change lives -- amazing microfinance web-platform