Open Source Data Engineering Apps

Define, schedule, and monitor complex data workflows as Python code — with a powerful UI, 80+ provider integrations, and battle-tested scalability across thousands of production deployments.

Open-source ELT platform with 600+ connectors for moving data from any source to warehouses, lakes, and AI agents.

Label Studio is an open-source, multi-type data labeling platform that lets teams annotate images, text, audio, video, and time series data with a configurable XML-based UI and export annotations in formats ready for any ML framework.

The open-source Looker alternative that turns your dbt project's metrics and dimensions into governed, self-serve charts and dashboards — no license key required.

Open-source metadata platform that unifies data catalog, lineage, quality, and governance into a single searchable graph, with an MCP server that gives AI agents governed access to that context.

Redash lets anyone connect to 35+ SQL and NoSQL data sources, write a query in the browser, and turn the result into a shared dashboard — no separate BI suite required.

Turn SQL queries and markdown files into polished, interactive data apps and business intelligence reports — no drag-and-drop, no GUI, just code.

Open-source GenBI engine that lets AI agents turn natural-language questions into governed SQL, charts, and shareable dashboards across 20+ data sources — no vendor lock-in, no black-box prompts.

A reactive Python notebook that eliminates hidden state, runs reproducibly, and deploys as a web app or script — stored as pure Python, built for the AI era.

Open-source, fully-scriptable data ingestion engine that streams events from web, apps, and APIs to any data warehouse in real time.

Drop your files and search them instantly — no vector DB, no indexing pipeline, just raw data queried by a self-evolving intelligence layer.

Visual ETL that compiles to Polars — build pipelines on a canvas, export as standalone Python, and run anywhere without platform lock-in.

A next-generation documentation site generator for dbt Core projects — lineage explorer, health scoring, and full-text search for teams without access to dbt Cloud's built-in docs features.

ktx builds a self-improving context layer over your data warehouse so AI agents like Claude Code and Codex query it with approved metric definitions instead of reinventing SQL logic from scratch.

Collaborate on high-quality AI training data with a self-hosted annotation platform built for LLMs, NLP, and multimodal models.