10 Weeks, 20 Lessons, Data Science for All!
$ npx skills add microsoft/Data-Science-For-BeginnersAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Collection of interactive Jupiter Notebook widgets and graphs.
10 Weeks, 20 Lessons, Data Science for All!
$ npx skills add microsoft/Data-Science-For-BeginnersStreamlit — A faster way to build and share data apps.
$ npx skills add streamlit/streamlitA Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
$ npx skills add scikit-learn-contrib/imbalanced-learnFlexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
$ npx skills add pandas-dev/pandasscikit-learn: machine learning in Python
$ npx skills add scikit-learn/scikit-learnBuild and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
$ npx skills add gradio-app/gradio🕸️ Web apps in pure Python 🐍
$ npx skills add reflex-dev/reflex🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
$ npx skills add lukasmasuch/best-of-ml-pythonPython Data. Leaflet.js Maps.
$ npx skills add python-visualization/foliummatplotlib: plotting with Python
$ npx skills add matplotlib/matplotlibAKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
$ npx skills add akfamily/akshareJupyter Interactive Notebook
$ npx skills add jupyter/notebookOpenRefine is a free, open source power tool for working with messy data and improving it
$ npx skills add OpenRefine/OpenRefineStatsmodels: statistical modeling and econometrics in Python
$ npx skills add statsmodels/statsmodelsWeFlow - 一个本地的微信聊天记录导出和年度报告应用
$ npx skills add hicccc77/WeFlow免费的AI可视化报表。一句话描述需求,AI 自动生成报表与数据大屏;同时提供类 Excel 拖拽设计器,兼容 30 余种数据源,轻松应对各类复杂报表场景——帆软、Tableau 的高性价比开源替代。
$ npx skills add jeecgboot/jimureportHow to choose
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 Data Visualization if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.