#etl

Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.

Interfaces and base classes for creating ETLs

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.

Sling is a CLI tool that extracts data from a source storage/database and loads it in a target storage/database.

Use SQL to instantly query repositories, users, gists and more from GitHub. Open source CLI. No DB required.

Asset-Aware MCP Server — AI Agent precisely accesses tables, figures, sections from PDFs + .docx round-trip editing (DFM) with 46 tools / 13 resources, segmentation export, layout overlay, OCR preprocessing, knowledge graph (LightRAG)

Data Engine for AI/Algo Trading: Download/Stream -> Clean -> Store. Supports Data Lakehouse Architecture. Clean Once and Forget.

Declarative ETL framework for YAML-driven data pipelines

A high-level machine learning and deep learning library for the PHP language.

SQL queries for CSV files. Ultra-fast CSV query engine in Zig with SIMD parsing and parallel execution. CLI: csvql.

(ETL) Extract, transform, load/download and augment images and annotations for detection, clustering or classification workflows

ETL / ELT / Reverse ETL Framework powered by DuckDB, designed to seamlessly integrate and process data from diverse sources. It leverages Markdown as a configuration medium, where YAML blocks define metadata for each data source, and embedded SQL blocks specify the extraction, transformation, and loading logic.

PHP ETL Adapter: CSV

PHP ETL Adapter: Doctrine