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.

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

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

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.

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.

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

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.

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.

A Rust-based real-time data processing engine for AI/ML feature computation, built on Apache DataFusion and Arrow — positioned as an alternative to Flink, Spark, Chronon, and OpenMLDB with unified streaming, batch, and request-time execution.

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.