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/pandasAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Table analysis in Tkinter using pandas DataFrames.
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 Grammar of Graphics for Python
$ npx skills add has2k1/plotnine10 Weeks, 20 Lessons, Data Science for All!
$ npx skills add microsoft/Data-Science-For-BeginnersA Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
$ npx skills add scikit-learn-contrib/imbalanced-learnMissing data visualization module for Python.
$ npx skills add ResidentMario/missingnoPython library for using dplyr like syntax with pandas and SQL
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$ npx skills add mwaskom/seabornStreamlit — 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-learn100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
$ npx skills add ajcr/100-pandas-puzzlesA next-generation curated knowledge sharing platform for data scientists and other technical professions.
$ npx skills add airbnb/knowledge-repoPyGWalker: Turn your dataframe into an interactive UI for visual analysis
$ npx skills add Kanaries/pygwalkerDanfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.
$ npx skills add javascriptdata/danfojs:zap: A distributed crawler for weibo, building with celery and requests.
$ npx skills add SpiderClub/weibospiderHow 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 Pandastable 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.