BigSpy
Adspy
SocialPeta
PowerAdSpy
AdFox
Pipiads
Telmar
Insightrackr
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Bigspy is having a huge database that almost covers every ad type, niche and also any country. It has more than 1,000,000,000 ads from more than 40 countries and regions and more than 40 ad types and is growing. You can easily social media ads And funnels in a matter of seconds. Bigspy also provides an intuitive layout for both the beginners and the pro ones. This tool allows you to search ads according to your keywords, country, Types, landing page and many more in a row that will help in finding the best Ads possible. and In addition to knowing about ads on Facebook. You can also learn about ads on AdMob, Pinterest, platform. Of course, if you are an advertiser of an e-commerce platform, then congratulations! This platform also has a function called Shopify spy, and you can use the same function. The best part is that here you can discover monetization strategies of competing Publishers, track viral trends and attract more new advertisers.
BigSpy MatplotlibBigSpy's answer
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Python, SQL, Vue, Elasticsearch, Redis ...
BigSpy's answer
For the struggles, I think it has always been differentiation. In todayโs industry, it is not enough to have a good solid product. It is important to outwit and outdo the competition to rise in a competitive marketplace. Therefore, we have been working on data collection, accuracy, and modeling optimization to acquire users and outcompete others. We hope to help our customers achieve at BigSpy; weโre constantly reminded of it.
BigSpy's answer
KILO.HEALTH, WELLECH, BRIO, LEEDIA, AVN ...
I've tried several ad spy tools, but BigSpy offers the best value for money. The database is massiveโespecially for Facebook and TikTok ads. It saves me hours of manual research and helps me spot trending products before the market gets saturated. If you run a dropshipping business or manage paid social, this is a non-negotiable part of the tech stack. Highly recommended for the "Ad Ideas" feature alone.
It has a huge database of ads on several social platforms, like Facebook, Instagram, Twitter, AdMob, Pinterest, and Yahoo, so we can check different ads for ads inspiration. Also, we can spy on competitors and track the performance of their ads to decide new marketing strategies.
Based on our record, Matplotlib seems to be a lot more popular than BigSpy. While we know about 114 links to Matplotlib, we've tracked only 1 mention of BigSpy. 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.
Https://bigspy.com/ and https://poweradspy.com/ both do this (but they're kind of sketchy). Source: about 4 years ago
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
Adspy - Adspy is an innovative and advanced solution that enables advertisers to discover winning strategies and maintain their top position.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
SocialPeta - Essential Ad Intelligence Platform, which provides massive Ad data about Top Networks, Creatives, and Advertisers.
NumPy - NumPy is the fundamental package for scientific computing with Python
PowerAdSpy - PowerAdSpy enables you to maximize profits without allocating funds for testing ads.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
