
Dor
UniCommerce
GoFrugal Retail
Trusted Shops
PriceSpider
Windsor Circle
Manthan
Teamwork Retail
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
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.
Based on our record, Plotly seems to be a lot more popular than Dor. While we know about 34 links to Plotly, we've tracked only 1 mention of Dor. 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.
I'm looking at Dor (getdor.com). They're appealing because I don't have to run power or low voltage, AND they integrate with square.... And they include batteries with the subscription.... But of course... it's yet another subscription. Any experience with them or any others? We have a few locations so whatever I go with has a multiplier associated with it. Source: about 4 years ago
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
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 / almost 2 years 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
UniCommerce - Web-based multi channel order fulfillment software.
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.
GoFrugal Retail - GoFrugal Retail will help manage day-to-day decisions with control inventory movenements from a central warehouse or at individual stores.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Trusted Shops - Trusted Shops certifies online shops by checking a set of quality criteria before awarding the European Trustmark.
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.