
Product Hunt
AlternativeTo
SaaSHub
BetaList
Alternative.me
Capterra
Futurepedia.io
G2 Crowd
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
Product Hunt
Scikit-learnJoined recently, it's really a great community, very supportive and you can find tons of useful new products.
Product Hunt might be a bit more popular than Scikit-learn. We know about 58 links to it since March 2021 and only 40 links to Scikit-learn. 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.
Vibedock (90 upvotes, producthunt.com) โ a macOS menubar toggle for Claude Code MCP servers. MCP server bundles are now common enough to be a daily-driver UX problem for solo devs. - Source: dev.to / about 1 month ago
On May 13, 2025, I officially launched CoLaunchly on Product Hunt. In this post, I want to share how it went, what worked, what didnโt, and what I learned from the experience. - Source: dev.to / about 1 year ago
Product Hunt: Great for launching and getting initial users. - Source: dev.to / almost 2 years ago
First, I checked out Product Hunt and took a look at other product launches from companies I admire. This helped me get an idea of what makes for a good launch. - Source: dev.to / almost 2 years ago
And even though itโs a small, simple product, I tried launching it on Product Hunt, where it also performed considerably well. - Source: dev.to / over 2 years ago
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 1 month 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 / about 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 / 4 months ago
AlternativeTo - AlternativeTo lets you find apps and software for Windows, Mac, Linux, iPhone, iPad, Android, Android Tablets, Web Apps, Online, Windows Tablets and more by recommending alternatives to apps you already know.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
SaaSHub - Find and promote software that will help you grow your business or to be more productive.
NumPy - NumPy is the fundamental package for scientific computing with Python
BetaList - BetaList provides an overview of upcoming internet startups. Discover and get early access to the future.
OpenCV - OpenCV is the world's biggest computer vision library