Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
common data analysis and machine learning tasks using python
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/pandasscikit-learn: machine learning in Python
$ npx skills add scikit-learn/scikit-learnA 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-BeginnersA Python tool that automatically cleans data sets and readies them for analysis.
$ npx skills add rhiever/datacleanerStreamlit — A faster way to build and share data apps.
$ npx skills add streamlit/streamlitA next-generation curated knowledge sharing platform for data scientists and other technical professions.
$ npx skills add airbnb/knowledge-repoStatistical data visualization in Python
$ npx skills add mwaskom/seabornTrack your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.
$ npx skills add probabl-ai/skorePython Data. Leaflet.js Maps.
$ npx skills add python-visualization/foliumA Grammar of Graphics for Python
$ npx skills add has2k1/plotnineKnee point detection in Python :chart_with_upwards_trend:
$ npx skills add arvkevi/kneedfklearn: Functional Machine Learning
$ npx skills add nubank/fklearn《python数据分析与挖掘实战》的代码笔记
$ npx skills add apachecn/python_data_analysis_and_mining_actionBuild and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
$ npx skills add gradio-app/gradioTerminal-based toolkit for GitHub data analysis.
$ npx skills add bellingcat/octosuiteHow 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 DataSciencePython 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.