Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
PowerAdSpy
AdPlexity
Adspy
Anstrex
AdWhistle
SocialPeta
MyAdLibrary
Advault
Plotly
PowerAdSpyPlotly 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.
Just started a campaign over Facebook and luckily PowerAdSpy launched chrome extension. Now, I can keep track of competitorsโ ads on-the-go. Although the feature doesnโt work on incognito, I find it very useful. Glad to have the ease.
Based on our record, Plotly should be more popular than PowerAdSpy. 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
These infographics contain information about Clothing Ads. Source: about 3 years ago
Https://bigspy.com/ and https://poweradspy.com/ both do this (but they're kind of sketchy). Source: about 4 years ago
The following are the top 7 Facebook ads research tool:. Source: about 4 years ago
It takes at least a couple of hours to conduct thorough Facebook ads research tool. However, for the most part, you'll be rewarded for your efforts. Source: about 4 years ago
Make a list of your espionage objectives before going Sherlock on your competitors' Facebook ads research tool. 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.
AdPlexity - AdPlexity is a popular and highly effective competitive intelligence service in the world and is a perfect fit for individuals looking up to their ad campaigns and crush the competition.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Adspy - Adspy is an innovative and advanced solution that enables advertisers to discover winning strategies and maintain their top position.
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.
Anstrex - Anstrex is an intelligence tool for online advertisers that allows you to keep an eye on your...