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

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

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.

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.

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.

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

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.

Build analytics dashboards, reports, and customer-facing analytics by writing pure SQL — powered by DuckDB and designed for self-hosted deployment.

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.

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

Federated AI search and RAG across 100+ enterprise sources—no data extraction, no vector database required.

A visual and textual programming platform for data prep and analysis where the node graph and the underlying Enso code are always perfectly in sync, built by an Alteryx co-founder on a GraalVM engine.