BASE44
Lovable
bolt.new
replit
Bubble.io
Taskade
Cursor
WiX
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
BASE44 Scikit-learnBased on our record, Scikit-learn should be more popular than BASE44. It has been mentiond 40 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.
The first category includes tools like Lovable or Base44. These are prompt-driven tools that can generate visually polished interfaces very quickly. They're great for demos that need to look impressive. However, they are usually frontend-focused. Once you need to store data, manage users, or connect real logic, things often become fragile. Backend integrationsโcommonly via services like Supabaseโcan break in ways... - Source: dev.to / 5 months ago
I love how AI is shaking up coding, and vibe coding seems to be the new obsession of -almost- every developer. It lets anyone, even non-coders, build apps by describing ideas in plain English. Tools like Base44, Lovable, and Cursor turn your words into working code, no syntax required. - Source: dev.to / 12 months ago
Landing page is excellent, esp the video; gets straight to the point. https://www.youtube.com/watch?v=vFzQF_Ik_-g https://base44.com/. - Source: Hacker News / about 1 year ago
Base44 For non-coders. All-in-one. Creates dashboard-like apps pretty well. - Source: dev.to / about 1 year 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 / 2 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
Lovable - The world's first AI Fullstack Engineer
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
bolt.new - Prompt, run, edit, and deploy full-stack web apps
NumPy - NumPy is the fundamental package for scientific computing with Python
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages โ without spending a second on setup.
OpenCV - OpenCV is the world's biggest computer vision library
