#1
Streamlit — A faster way to build and share data apps.
45K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add streamlit/streamlitAlternatives
Hyperlearn alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Hyperlearn
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
74
Quality
86
Trust
2.5K
Stars
#2
Roadmap to becoming an Artificial Intelligence Expert in 2022
31K starsSep 12, 2025 pushdata-analysisJavaScriptData Analysis
$ npx skills add AMAI-GmbH/AI-Expert-Roadmap#3
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#4
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#5
🛠 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#6
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#7
🏆 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#8
nannyml: post-deployment data science in python
2.1K starsJul 12, 2025 pushdata-analysisPythonData Analysis
$ npx skills add NannyML/nannyml#9
Statsmodels: statistical modeling and econometrics in Python
11K starsJun 12, 2026 pushdata-analysisPythonData Analysis
$ npx skills add statsmodels/statsmodels#10
10 Weeks, 20 Lessons, Data Science for All!
36K starsJun 10, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add microsoft/Data-Science-For-Beginners#11
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#12
Open Machine Learning Course
11K starsMar 1, 2026 pushdata-analysisPythonData Analysis
$ npx skills add Yorko/mlcourse.ai#13
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
6.7K starsJun 21, 2023 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add rhiever/Data-Analysis-and-Machine-Learning-Projects#14
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#15
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#16
bansalkanav/Ultimate-Data-Science-Toolkit---From-Python-Basics-to-GenerativeAI is a high-star GitHub project relevant to AI agent workflows.
968 starsApr 8, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add bansalkanav/Ultimate-Data-Science-Toolkit---From-Python-Basics-to-GenerativeAIHow 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 Hyperlearn if it already passes your workflow test and repository review.
Next step
Compare top candidates side by side
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.