Alternatives

Learning Ray alternatives for AI agents.

Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.

Current skill

Learning Ray

Notebooks for the O'Reilly book "Learning Ray"

52
Quality
71
Trust
354
Stars
#1

Streamlit

Similarity 137Trust 87Excellent 100

Streamlit — A faster way to build and share data apps.

45K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add streamlit/streamlit
#2

Data Science For Beginners

Similarity 135Trust 87Excellent 100

10 Weeks, 20 Lessons, Data Science for All!

36K starsJun 10, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add microsoft/Data-Science-For-Beginners
#3

Ipython

Similarity 134Trust 88Excellent 100

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

17K starsJun 15, 2026 pushdata-analysisPythonNotebook
$ npx skills add ipython/ipython
#4

Notebook

Similarity 131Trust 87Excellent 100

Jupyter Interactive Notebook

13K starsJun 19, 2026 pushdata-analysisJupyter NotebookNotebook
$ npx skills add jupyter/notebook
#5

Pandas

Similarity 121Trust 89Excellent 100

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
#6

Gradio

Similarity 121Trust 89Excellent 100

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

43K starsJun 17, 2026 pushdata-analysisPythonData Analysis
$ npx skills add gradio-app/gradio
#7

Scikit Learn

Similarity 121Trust 87Excellent 100

scikit-learn: machine learning in Python

66K starsJun 17, 2026 pushdata-analysisPythonData Analysis
$ npx skills add scikit-learn/scikit-learn
#8

Best Of Ml Python

Similarity 120Trust 87Excellent 100

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

24K starsJun 11, 2026 pushdata-analysisData AnalysisOpenAI Agents
$ npx skills add lukasmasuch/best-of-ml-python
#9

Open Notebook

Similarity 119Trust 87Excellent 100

An Open Source implementation of Notebook LM with more flexibility and features

32K starsJun 18, 2026 pushdata-analysisTypeScriptNotebook
$ npx skills add lfnovo/open-notebook
#10

Spark

Similarity 113Trust 87Excellent 100

Apache Spark - A unified analytics engine for large-scale data processing

44K starsSep 9, 2026 pushdata-analysisScalaSQL
$ npx skills add apache/spark
#11

Akshare

Similarity 112Trust 90Excellent 100

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

22K starsAug 13, 2026 pushdata-analysisPythonData Analysis
$ npx skills add akfamily/akshare
#12

Reflex

Similarity 112Trust 87Excellent 100

🕸️ Web apps in pure Python 🐍

29K starsJun 13, 2026 pushdata-analysisPythonData Analysis
$ npx skills add reflex-dev/reflex
#13

Flink

Similarity 112Trust 87Excellent 100

Apache Flink

26K starsAug 26, 2026 pushdata-analysisJavaSQL
$ npx skills add apache/flink
#14

Sqlmodel

Similarity 112Trust 87Excellent 100

SQL databases in Python, designed for simplicity, compatibility, and robustness.

18K starsJun 18, 2026 pushdata-analysisPythonSQL
$ npx skills add fastapi/sqlmodel
#15

Matplotlib

Similarity 111Trust 84Excellent 100

matplotlib: plotting with Python

23K starsJun 16, 2026 pushdata-analysisPythonData Visualization
$ npx skills add matplotlib/matplotlib
#16

Sqlc

Similarity 111Trust 85Excellent 100

Generate type-safe code from SQL

18K starsJun 19, 2026 pushdata-analysisGoSQL
$ npx skills add sqlc-dev/sqlc

How 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 Learning Ray 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.