Alternatives

Feature Engineering Tutorials alternatives for AI agents.

Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.

Current skill

Feature Engineering Tutorials

Data Science Feature Engineering and Selection Tutorials

72
Quality
77
Trust
291
Stars
#1

Ipython

Similarity 134Trust 93Excellent 100

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

17K starsJun 15, 2026 pushdata-analysisPythonNotebook
$ npx skills add ipython/ipython
#2

Notebook

Similarity 132Trust 92Excellent 100

Jupyter Interactive Notebook

13K starsJun 19, 2026 pushdata-analysisJupyter NotebookNotebook
$ npx skills add jupyter/notebook
#3

Docker Stacks

Similarity 125Trust 90Excellent 100

Ready-to-run Docker images containing Jupyter applications

8.4K starsJun 20, 2026 pushdata-analysisPythonNotebook
$ npx skills add jupyter/docker-stacks
#4

Data Science For Beginners

Similarity 119Trust 92Excellent 100

10 Weeks, 20 Lessons, Data Science for All!

36K starsJun 10, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add microsoft/Data-Science-For-Beginners
#5

Open Notebook

Similarity 119Trust 92Excellent 100

An Open Source implementation of Notebook LM with more flexibility and features

32K starsJun 18, 2026 pushdata-analysisTypeScriptNotebook
$ npx skills add lfnovo/open-notebook
#6

Numpy 100

Similarity 118Trust 90Excellent 100

100 numpy exercises (with solutions)

14K starsApr 29, 2026 pushdata-analysisPythonNotebook
$ npx skills add rougier/numpy-100
#7

Fsnotes

Similarity 116Trust 90Excellent 100

Notes manager for macOS/iOS

7.4K starsJun 7, 2026 pushdata-analysisSwiftNotebook
$ npx skills add glushchenko/fsnotes
#8

Pandas

Similarity 114Trust 94Excellent 100

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

49K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add pandas-dev/pandas
#9

Streamlit

Similarity 113Trust 92Excellent 100

Streamlit — A faster way to build and share data apps.

45K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add streamlit/streamlit
#10

Reflex

Similarity 113Trust 92Excellent 100

🕸️ Web apps in pure Python 🐍

29K starsJun 13, 2026 pushdata-analysisPythonData Analysis
$ npx skills add reflex-dev/reflex
#11

Best Of Ml Python

Similarity 113Trust 92Excellent 100

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

24K starsJun 11, 2026 pushdata-analysisData AnalysisClaude Code
$ npx skills add lukasmasuch/best-of-ml-python
#12

Akshare

Similarity 113Trust 92Excellent 100

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

20K starsMay 27, 2026 pushdata-analysisPythonData Analysis
$ npx skills add akfamily/akshare
#13

OpenRefine

Similarity 112Trust 93Excellent 100

OpenRefine is a free, open source power tool for working with messy data and improving it

12K starsJun 12, 2026 pushdata-analysisJavaData Analysis
$ npx skills add OpenRefine/OpenRefine
#14

Trino

Similarity 112Trust 92Excellent 100

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

13K starsJun 20, 2026 pushdata-analysisJavaSQL
$ npx skills add trinodb/trino
#15

Statsmodels

Similarity 112Trust 92Excellent 100

Statsmodels: statistical modeling and econometrics in Python

11K starsJun 12, 2026 pushdata-analysisPythonData Analysis
$ npx skills add statsmodels/statsmodels
#16

Imbalanced Learn

Similarity 111Trust 92Excellent 100

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

7.1K starsJun 7, 2026 pushdata-analysisPythonData Analysis
$ npx skills add scikit-learn-contrib/imbalanced-learn

How to choose

When should you switch?

Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Feature Engineering Tutorials if it already passes your workflow test and repository review.

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