Free alternatives to scikit-learn
50 free AI Skills apps to use instead, best rated first.
Top picks
- W
webapp-testing
LaunchNative Python Playwright scripts for testing local web applications with server lifecycle management. Includes with_server.py helper to automatically start and manage single or multiple servers before running automation scripts. Supports re
- C
content-research-writer
LaunchAssists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on
- O
openhue
Launchopenhue is an agent skill from the OpenClaw project, listed on skills.sh. It lets an agent control Philips Hue lights and scenes through a Hue Bridge with the OpenHue CLI: turn lights on and off, dim rooms, set scenes such as movie mode, an
- B
batch-grill-me
Launchbatch-grill-me is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It interviews you relentlessly about a plan until you share an understanding. It maps decisions as a tree and asks every question it can answer now
- I
implement
Launchimplement is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It implements work from a spec or tickets: it fetches the ticket, works test-first at agreed seams, runs type checks and tests as it goes, reviews the re
- F
frontend-design
LaunchDistinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices. Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementat
More AI Skills apps
brainstorming
Transform rough ideas into fully-formed designs through structured questioning
finishing-a-development-branch
Guides completion of development work by presenting clear options
test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
About scikit-learn
scikit-learn
Supports machine learning in Python with scikit-learn
scikit-learn is an agent skill for classical machine learning in Python with scikit-learn, covering classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation and production-ready pipelines. The skill targets scikit-learn 1.9.1, verified on Python 3.13. The release needs Python 3.11 or newer, and you should use the published wheels for your interpreter and platform. The bundled scripts and regression tests are runnable examples. Reference snippets that use caller-provided data or placeholders are adaptations, not complete programs. Install the PyPI package named scikit-learn, not the deprecated sklearn package on PyPI, and import it in code as sklearn. The install can include optional plotting utilities and the packages the bundled scripts need, such as matplotlib and pandas. Use it for tabular prediction and analysis work where a well-understood model with clean evaluation is the right tool. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 2,000 installs. Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/scikit-learn