Open source alternatives to scikit-learn
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O
opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A
andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M
microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O
od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G
github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
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Discovery, exploration, reporting and root cause analysis over Netdata metrics
Learn Claude Code
by shareAI-lab - A really interesting analysis of how coding agents like Claude
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