#1
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
46K starsJun 20, 2026 pushdata-analysisPythonETL
$ npx skills add apache/airflowAlternatives
Data Engineering Best Practices alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Data Engineering Best Practices
Sample project to demonstrate data engineering best practices
45
Quality
67
Trust
220
Stars
#2
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
63K starsJul 2, 2026 pushdata-analysisPythonETL
$ npx skills add pathwaycom/pathway#3
Fancy stream processing made operationally mundane
8.7K starsJun 19, 2026 pushdata-analysisGoETL
$ npx skills add redpanda-data/connect#4
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
21K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add airbytehq/airbyte#5
Apache Spark - A unified analytics engine for large-scale data processing
43K starsJun 20, 2026 pushdata-analysisScalaSQL
$ npx skills add apache/spark#6
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#7
Streamlit — A faster way to build and share data apps.
45K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add streamlit/streamlit#8
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#9
SQL databases in Python, designed for simplicity, compatibility, and robustness.
18K starsJun 18, 2026 pushdata-analysisPythonSQL
$ npx skills add fastapi/sqlmodel#10
matplotlib: plotting with Python
23K starsJun 16, 2026 pushdata-analysisPythonData Visualization
$ npx skills add matplotlib/matplotlib#11
100 numpy exercises (with solutions)
14K starsApr 29, 2026 pushdata-analysisPythonNotebook
$ npx skills add rougier/numpy-100#12
The Database Toolkit for Python
12K starsJun 18, 2026 pushdata-analysisPythonSQL
$ npx skills add sqlalchemy/sqlalchemy#13
A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
9.8K starsJun 19, 2026 pushdata-analysisPythonSQL
$ npx skills add sqlfluff/sqlfluff#14
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#15
Python Data. Leaflet.js Maps.
7.4K starsJun 15, 2026 pushdata-analysisPythonData Visualization
$ npx skills add python-visualization/folium#16
10 Weeks, 20 Lessons, Data Science for All!
36K starsJun 10, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add microsoft/Data-Science-For-BeginnersHow 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 Data Engineering Best Practices 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.