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.

Open-source AI-native platform to build and deploy internal tools, workflows, and AI agents with a visual drag-and-drop builder and 80+ data source integrations.

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

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

Build, test, and deploy AI agents and RAG workflows visually with native API and MCP server export.

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.

Skyvern (YC S2023) automates browser-based workflows by pairing LLMs with computer vision, letting agents click, fill, and extract data on sites they've never seen, without brittle XPath selectors that break on every layout change.

Open-source agentic security automation platform that runs AI agents and durable workflows at scale with sandboxed execution.

The batteries-included Python agent harness — planning, sub-agents, filesystem, shell, memory, and skills bundled in, built on LangGraph.

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.

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

An open-source MCP platform for organizations — host MCP servers, run MCP registries, monitor usage, and build agents and chatbots on top of the Model Context Protocol from one self-hosted deployment.

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

A local desktop workspace that gives every coding task its own agent, Git branch, and worktree, then tracks tasks, pull requests, CI, and reviews for 27 coding agents on one live Kanban board.

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.

Stateful actors as a primitive for AI agents, real-time collaboration, and durable execution — with in-memory state, WebSockets, queues, and scheduling built in.