Skill 디렉토리

AI Agent를 위한 재사용 가능한 Skill을 찾으세요.

작업으로 실제 GitHub Skill을 검색하고 사용 전에 Stars, 신뢰, 감사, 카테고리, 설치 경로를 확인하세요.

모든 추천은 리포지토리, 감사, 설치 경로와 명확하게 연결됩니다.

검색 결과: cinchoo-etl

영문 디렉토리

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

63K
Stars
79/100
신뢰
카테고리: data-analysis감사

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.

15K
Stars
86/100
신뢰
카테고리: document-processing감사

Zero-ETL, infinite possibilities. Live query APIs, code & more with SQL. No DB required.

7.9K
Stars
84/100
신뢰
카테고리: devops감사

A system for agentic LLM-powered data processing and ETL

3.8K
Stars
77/100
신뢰
카테고리: data-analysis감사

A fast and versatile ETL tool that can transfer data between RDBMS and NoSQL seamlessly

1.4K
Stars
84/100
신뢰
카테고리: data-analysis감사

⚡ Fastest SQL ETL pipeline in a single C++ binary, built for stream processing, observability, analytics and AI/ML

2.2K
Stars
83/100
신뢰
카테고리: data-analysis감사

🔥🔥🔥 Open source Reverse ETL - alternative to hightouch and census.

1.7K
Stars
77/100
신뢰
카테고리: data-analysis감사

visual data prep powered by python

1.4K
Stars
74/100
신뢰
카테고리: data-analysis감사

TypeScript ETL toolkit for indexing Ethereum, Solana, and Substrate data, sourced from SQD Network.

1.3K
Stars
83/100
신뢰
카테고리: data-analysis감사

Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ

3.1K
Stars
77/100
신뢰
카테고리: data-analysis감사

Data processing & ETL framework for Ruby

1.8K
Stars
71/100
신뢰
카테고리: data-analysis감사

ETL framework for .NET (Parser / Writer for CSV, Flat, Xml, JSON, Key-Value, Parquet, Yaml, Avro formatted files)

859
Stars
72/100
신뢰
카테고리: data-analysis감사