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

Build, deploy, and run autonomous AI agents that automate complex multi-step workflows using a visual block-based graph editor.

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.

Self-hostable AI platform with agentic RAG, 50+ connectors, deep research, code execution, and support for every major LLM provider.

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 pioneering open-source autonomous AI agent that conducts deep, multi-source research and produces citation-backed reports exceeding 2,000 words — faster and more reliably than any human researcher.

The extensible, privacy-first AI platform that runs Ollama, OpenAI, and any LLM backend behind a polished, feature-packed web interface.

The power-user LLM frontend that unifies dozens of AI backends with a rich scripting engine, immersive Visual Novel mode, and a thriving extension ecosystem.

The all-in-one AI platform for private document chat, no-code agents, and local LLMs with zero setup friction.

Run LLMs 100% locally with full privacy, or connect to cloud AI — your machine, your data, your control.

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.

Run and fine-tune LLMs, diffusion, audio and embedding models on your own hardware, from a native desktop app, a browser UI, or a Python library.

Privacy-first, cross-platform voice-to-text with local AI and cloud options

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

The open-source, unlimited NotebookLM alternative with real-time collaboration, a desktop app, and no vendor lock-in.

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.

Privacy-first AI meeting assistant that transcribes and summarizes your meetings entirely on your local machine — no cloud, no data leakage.

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.

Self-hosted AI transcription with speaker diarization, smart tagging, and multi-user collaboration — your recordings stay on your infrastructure.