#1
cuDF - GPU DataFrame Library
9.7K starsJun 16, 2026 pushdata-analysisC++Data Analysis
$ npx skills add rapidsai/cudfAlternatives
DataFrame alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
DataFrame
C++ DataFrame for statistical, financial, and ML analysis in modern C++
100
Quality
93
Trust
3.0K
Stars
#2
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
2.4K starsJun 14, 2026 pushdata-analysisC++Data Analysis
$ npx skills add man-group/ArcticDB#3
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
2.5K starsJun 14, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add apache/hamilton#4
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#5
Streamlit — A faster way to build and share data apps.
45K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add streamlit/streamlit#6
10 Weeks, 20 Lessons, Data Science for All!
36K starsJun 10, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add microsoft/Data-Science-For-Beginners#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
🏆 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#10
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#11
Statsmodels: statistical modeling and econometrics in Python
11K starsJun 12, 2026 pushdata-analysisPythonData Analysis
$ npx skills add statsmodels/statsmodels#12
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。
8.0K starsMay 22, 2026 pushdata-analysisJavaData Analysis
$ npx skills add jeecgboot/jimureport#13
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#14
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/flyte#15
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
6.5K starsJun 15, 2026 pushdata-analysisPythonData Analysis
$ npx skills add datajuicer/data-juicer#16
Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet
2.6K starsJun 11, 2026 pushdata-analysisJupyter NotebookData Visualization
$ npx skills add mito-ds/mitoHow 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 DataFrame 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.