Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Code repository for the "PySpark in Action" book
Flexible 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/pandasA Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
$ npx skills add scikit-learn-contrib/imbalanced-learn10 Weeks, 20 Lessons, Data Science for All!
$ npx skills add microsoft/Data-Science-For-BeginnersStreamlit โ A faster way to build and share data apps.
$ npx skills add streamlit/streamlitscikit-learn: machine learning in Python
$ npx skills add scikit-learn/scikit-learn๐ธ๏ธ Web apps in pure Python ๐
$ npx skills add reflex-dev/reflexAKShare is an elegant and simple financial data interface library for Python, built for human beings! ๅผๆบ่ดข็ปๆฐๆฎๆฅๅฃๅบ
$ npx skills add akfamily/aksharePython Data. Leaflet.js Maps.
$ npx skills add python-visualization/foliumStatsmodels: statistical modeling and econometrics in Python
$ npx skills add statsmodels/statsmodels๐ A ranked list of awesome machine learning Python libraries. Updated weekly.
$ npx skills add lukasmasuch/best-of-ml-pythonOfficial repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
$ npx skills add ipython/ipythonSQL databases in Python, designed for simplicity, compatibility, and robustness.
$ npx skills add fastapi/sqlmodelmatplotlib: plotting with Python
$ npx skills add matplotlib/matplotlibOpenRefine is a free, open source power tool for working with messy data and improving it
$ npx skills add OpenRefine/OpenRefineBuild and share delightful machine learning apps, all in Python. ๐ Star to support our work!
$ npx skills add gradio-app/gradio100 numpy exercises (with solutions)
$ npx skills add rougier/numpy-100How 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 DataAnalysisWithPythonAndPySpark 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.