Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Pudding.ai
AdWhistle
MyAdLibrary
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Pudding.ai is a real-time ad creative analysis solution that helps marketers understand their ad creative performance. It answers 3 main questions: What creative works? Why? How to improve it?
With Pudding.ai you can easily:
ยท View the performance of your ad creatives in real-time
ยท See which creative elements help or hurt your KPIs
ยท Get actionable insights for future campaigns
ยท Easily share data with everyone in your team
The AI analyses images, videos, and copy elements providing actionable insights for future campaigns. With Pudding, it becomes possible to understand what elements of the creatives work, which donโt, why, and which ads are in fatigue.
Today, itโs supporting Facebook, Instagram, Google, YouTube, Pinterest and TikTok ads allowing a complete ad creative data overview in one place. In addition, this aids in seamless communication between media and creative teams, closing the feedback loop and increasing overall productivity.
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Matplotlib
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Based on our record, Matplotlib seems to be a lot more popular than Pudding.ai. While we know about 114 links to Matplotlib, we've tracked only 3 mentions of Pudding.ai. 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.
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
Try this creative audit. It's free and sends you creative analysis reports once a month. Source: over 4 years ago
Do they do ad creative performance reporting? It looks quite different from pudding.ai from what I see. Source: over 5 years ago
Dashthis does this as well, it might be a poor mans pudding.ai. Source: over 5 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
AdWhistle - AdWhistle is a web-based platform that provides you the features and tools to create a campaign strategy and run the ads successfully on various social media platforms.
NumPy - NumPy is the fundamental package for scientific computing with Python
MyAdLibrary - MyAdLibrary is the marketing tool that provides you the features to monitor and spy the results of the Facebook ads.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
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