Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
Sensor Tower
appfigures
App Annie
Mobile Action
AppTweak
App Radar
AppFollow
42matters
Scikit-learn Sensor TowerScikit-learn might be a bit more popular than Sensor Tower. We know about 40 links to it since March 2021 and only 30 links to Sensor Tower. 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.
Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 2 months ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / about 2 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / 2 months ago
Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago
In practice, youโll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 5 months ago
The hype around AI shows no signs of slowing down and continues to attract attention from publishers, developers, anyone creating mobile applications for their business, and those with a keen interest. This fact is proved by the latest report, State of AI, which analyzed current trends in 2025, released by Sensor Tower, the leading source of mobile app insights. If you havenโt had time to look through the report,... - Source: dev.to / 11 months ago
I was optimistically hoping some of the MV3 changes would result in Chrome webstore policy enforcement being standardized, but that hasn't happened. Sensor Tower (https://sensortower.com/) makes a lot of popular extensions, like StayFocusd https://www.stayfocusd.com/. They seem to resell ad data (in violation of [1]?) and ship likely obfuscated code [2] (in violation of [3]?), but there's no enforcement or even... - Source: Hacker News / over 1 year ago
Yes, and they will be right. Just look at its revenue (sensortower.com) through the many fiascos. Source: about 4 years ago
(source: https://sensortower.com/). Source: about 4 years ago
Ya I checked out data.ai and sensortower.com. Both give pretty good overview data. But I think you're right, premium may be required for any in depth user information. Source: about 4 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
appfigures - Cross-platform app store analytics for all of your mobile apps.
NumPy - NumPy is the fundamental package for scientific computing with Python
App Annie - App Annie is a marketing analytics tool available for apps of all kinds. With App Annie, you can track sales, traffic, and a variety of other factors pertinent to monitoring an app's trajectory.
OpenCV - OpenCV is the world's biggest computer vision library
Mobile Action - Mobile Data Intelligence & Actionable Insights.
