#1
Streamlit — A faster way to build and share data apps.
45K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add streamlit/streamlitAlternatives
DADApy alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
DADApy
Distance-based Analysis of DAta-manifolds in python
79
Quality
80
Trust
149
Stars
#2
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#3
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#4
scikit-learn: machine learning in Python
66K starsJun 17, 2026 pushdata-analysisPythonData Analysis
$ npx skills add scikit-learn/scikit-learn#5
10 Weeks, 20 Lessons, Data Science for All!
36K starsJun 10, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add microsoft/Data-Science-For-Beginners#6
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#7
🕸️ Web apps in pure Python 🐍
29K starsJun 13, 2026 pushdata-analysisPythonData Analysis
$ npx skills add reflex-dev/reflex#8
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#9
Statsmodels: statistical modeling and econometrics in Python
11K starsJun 12, 2026 pushdata-analysisPythonData Analysis
$ npx skills add statsmodels/statsmodels#10
🏆 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#11
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#12
matplotlib: plotting with Python
23K starsJun 16, 2026 pushdata-analysisPythonData Visualization
$ npx skills add matplotlib/matplotlib#13
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
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
30K starsJul 1, 2026 pushdata-analysisPythonData Analysis
$ npx skills add K-Dense-AI/scientific-agent-skills#15
微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。
41K starsMay 24, 2026 pushdata-analysisPythonData Analysis
$ npx skills add 666ghj/BettaFish#16
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
7.1K starsJun 12, 2026 pushdata-analysisGoData Analysis
$ npx skills add flyteorg/flyteHow 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 DADApy 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.