Alternatives

Amazing Feature Engineering alternatives for AI agents.

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

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Current skill

Amazing Feature Engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Quality

Trust

791

Stars

Streamlit

Similarity 138Trust 95Excellent 100

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

45K starsJun 14, 2026 pushdata-analysisPythonData Analysis

$ npx skills add streamlit/streamlit

Best Of Ml Python

Similarity 137Trust 95Excellent 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

Mito

Similarity 137Trust 91Excellent 100

Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet

2.6K starsJun 11, 2026 pushdata-analysisJupyter NotebookData Visualization

$ npx skills add mito-ds/mito

Data Science For Beginners

Similarity 136Trust 96Excellent 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

Book6 First Course In Data Science

Similarity 135Trust 87Excellent 95

Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！

2.7K starsMay 1, 2026 pushdata-analysisJupyter NotebookData Visualization

$ npx skills add Visualize-ML/Book6_First-Course-in-Data-Science

Machine Learning Complete

Similarity 135Trust 86Strong 77

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

5.0K starsSep 22, 2023 pushdata-analysisJupyter NotebookData Analysis

$ npx skills add Nyandwi/machine_learning_complete

Awesome Python Data Science

Similarity 133Trust 91Excellent 100

Probably the best curated list of data science software in Python.

3.5K starsApr 13, 2026 pushdata-analysisData AnalysisClaude Code

$ npx skills add krzjoa/awesome-python-data-science

Ml Workspace

Similarity 133Trust 83Strong 76

🛠 All-in-one web-based IDE specialized for machine learning and data science.

3.5K starsJul 26, 2024 pushdata-analysisJupyter NotebookData Analysis

$ npx skills add ml-tooling/ml-workspace

ML CaPsule

Similarity 133Trust 88Excellent 85

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

659 starsJun 13, 2026 pushdata-analysisJupyter NotebookData Analysis

$ npx skills add Niketkumardheeryan/ML-CaPsule

#10

PyPOTS

Similarity 133Trust 93Excellent 100

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

2.0K starsJun 9, 2026 pushdata-analysisPythonData Analysis

$ npx skills add WenjieDu/PyPOTS

#11

Sweetviz

Similarity 131Trust 93Excellent 100

Visualize and compare datasets, target values and associations, with one line of code.

3.1K starsApr 11, 2026 pushdata-analysisPythonData Visualization

$ npx skills add fbdesignpro/sweetviz

#12

Deepnote

Similarity 131Trust 93Excellent 100

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/

2.9K starsJun 13, 2026 pushdata-analysisTypeScriptData Visualization

$ npx skills add deepnote/deepnote

#13

Courses

Similarity 131Trust 76Promising 55

Answers for Quizzes & Assignments that I have taken

711 starsMay 30, 2023 pushdata-analysisJupyter NotebookData Visualization

$ npx skills add salimt/Courses-

#14

Linear Algebra With Python

Similarity 131Trust 87Strong 74

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

2.6K starsSep 5, 2024 pushdata-analysisJupyter NotebookData Visualization

$ npx skills add weijie-chen/Linear-Algebra-With-Python

#15

Gradio

Similarity 131Trust 99Excellent 100

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

43K starsJun 15, 2026 pushdata-analysisPythonData Analysis

$ npx skills add gradio-app/gradio

#16

Reflex

Similarity 130Trust 95Excellent 100

🕸️ Web apps in pure Python 🐍

29K starsJun 13, 2026 pushdata-analysisPythonData Analysis

$ npx skills add reflex-dev/reflex

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 Amazing Feature Engineering if it already passes your workflow test and repository review.

Next step

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Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.