#1
Streamlit — A faster way to build and share data apps.
45K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add streamlit/streamlitAlternatives
Machine Learning Complete alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Machine Learning Complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
77
Quality
86
Trust
5.0K
Stars
#2
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#3
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#4
collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc
594 starsMar 8, 2023 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add ptyadana/Data-Science-and-Machine-Learning-Projects-Dojo#5
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
43K starsJun 17, 2026 pushdata-analysisPythonData Analysis
$ npx skills add gradio-app/gradio#6
🏆 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#7
10 Weeks, 20 Lessons, Data Science for All!
36K starsJun 10, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add microsoft/Data-Science-For-Beginners#8
🛠 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#9
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
2.5K starsNov 19, 2024 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add unslothai/hyperlearn#10
🕸️ Web apps in pure Python 🐍
29K starsJun 13, 2026 pushdata-analysisPythonData Analysis
$ npx skills add reflex-dev/reflex#11
Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises
593 starsMar 23, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add cfgranda/ps4ds#12
nannyml: post-deployment data science in python
2.1K starsJul 12, 2025 pushdata-analysisPythonData Analysis
$ npx skills add NannyML/nannyml#13
Roadmap to becoming an Artificial Intelligence Expert in 2022
31K starsSep 12, 2025 pushdata-analysisJavaScriptData Analysis
$ npx skills add AMAI-GmbH/AI-Expert-Roadmap#14
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
1.4K starsFeb 20, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add GoogleCloudPlatform/data-science-on-gcp#15
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing, model development, deployment, and maintenance.
701 starsSep 2, 2024 pushdata-analysisData AnalysisClaude Code
$ npx skills add farukalamai/advanced-machine-learning-engineer-roadmap-2024#16
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-learnHow 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 Machine Learning Complete if it already passes your workflow test and repository review.
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