Curator.io
Walls.io
Juicer
Blog2Social
Taggbox
Facebook Apps and Tabs
ViralContentBee
Jooicer
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Whether you need a solution for your website, digital TV display or live event Curator is the perfect solution. With a free account, you can give Curator a test run without using your credit card. Curator is the cheapest, most robust social media aggregator (or social media curator) on the net. If something is missing we can build it for you.
We pride ourselves on great customer support and strive to always get the job done.
Curator.io
PlotlyPlotly 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 more popular. It has been mentiond 34 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.
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
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.
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.
Juicer - Juicer provides a solution to aggregate brands' hashtag and social media posts into a single social media feed on their website.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Blog2Social - Auto post, cross post, re publish, re post and schedule your WordPress blogs posts to social networks like Facebook, Twitter, LinkedIn, Instagram, Pinterest
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.