All Open Source 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.

The most popular Kubernetes-native workflow engine for orchestrating containerized DAGs, ML pipelines, CI/CD, and parallel batch jobs at scale.

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

Open-source column-oriented database that delivers real-time analytical queries on petabyte-scale data with millisecond latency.

Open-source BI tool with drag-and-drop dashboards, 20+ data source connectors, and AI-powered natural language queries — a self-hosted alternative to Tableau.

Open-source enterprise data warehouse unifying analytics, vector search, full-text search, and AI agent orchestration in a single Rust-built engine on S3.

Event-driven orchestration platform for data, AI, and infrastructure workflows — define everything in YAML, run anywhere at scale.

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.

The SQL database you can branch, merge, diff, and clone — Git for your data, MySQL-compatible and ready for multi-agent AI workflows.

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.

Postgres-native ETL that streams change data capture in real time to Snowflake, BigQuery, ClickHouse, S3, and Kafka — up to 10x faster than general-purpose pipelines, managed through a familiar Postgres SQL interface.

Single C++ binary SQL engine for real-time stream processing, ETL, and analytics on Kafka, Redpanda, and ClickHouse with sub-millisecond latency.

An incremental data indexing engine that keeps AI agent context perpetually fresh by reprocessing only what changed.

The fastest BI tool for humans and agents — define metrics, models, and dashboards as code and query them instantly on ClickHouse or DuckDB.

A distributed stream processing engine written in Rust that lets you write SQL to run stateful, real-time computations over data streams with subsecond results.

Run AI workloads at scale with a Pythonic serverless runtime that handles GPU inference, background jobs, and sandboxes with zero infrastructure overhead.

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.