WhiteSpark is highly recommended for small to medium-sized businesses, local businesses, digital marketing agencies, and SEO professionals who want to improve their local search presence and manage citations effectively.
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 WhiteSpark. While we know about 33 links to Plotly, we've tracked only 3 mentions of WhiteSpark. 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 use the listing service from whitespark.ca. I think they are worth the money to build a decent set of listings. Source: almost 3 years ago
I often use a service like whitespark.ca to do an initial listings set. Much quicker and cheaper than doing it one by one. Source: almost 3 years ago
I have used the listing service on whitespark.ca before. I think they are good for building the basic set you need from the main directory/citation services. And it's a one-time fee. Price is reasonable especially for a start up web site. Source: almost 3 years 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 / 2 months 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 / 4 months 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 / 6 months 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 / 12 months ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
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