Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
EmbedSocial
Elfsight
Taggbox
Walls.io
Curator.io
Tintup
Juicer
Tagembed
Plotly
EmbedSocialPlotly 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.
EmbedSocial is recommended for businesses and individuals who need to showcase user-generated content on their websites, including marketing agencies, e-commerce sites, event organizers, and companies with active social media presence.
Based on our record, Plotly seems to be a lot more popular than EmbedSocial. While we know about 34 links to Plotly, we've tracked only 2 mentions of EmbedSocial. 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
Something along the lines of this: Https://embedsocial.com/. Source: over 3 years ago
Https://embedsocial.com/ is close. Not sure about the monthly grouping though. Source: over 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.
Elfsight - All-in-One platform with 80+ widgets designed to solve any of your website tasks. Customizable Social Feeds, Reviews, Forms, Chats, and many more widgets to increase brand credibility, engage more customers, and skyrocket your sales!
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Taggbox - Taggbox helps brands in collecting social feeds, reviews, and user-generated content to curate and display them across websites, digital displays, and marketing touchpoints in an engaging and shoppable manner. Helping brands build trust & conversions
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.
Walls.io - Walls.io is an all-in-one audience engagement solution that allows brands to collect, curate, and display user-generated content in an easy-to-customize feed that can be used on displays, websites, intranets, or apps.