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.

Auto-magical MLOps platform that tracks experiments, versions data, orchestrates pipelines, and serves models with just two lines of code.

Build, run, and manage agent platforms with a full production stack — SDK, runtime, and control plane included.

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 feature flagging, remote config, and A/B/multivariate testing platform for web, mobile, and server-side apps — self-host or use the hosted SaaS.

Open-source cron job and background task monitoring that alerts you when your scheduled jobs go silent.

Open-source AI observability platform for tracing, evaluating, and debugging LLM applications with built-in intelligence and MCP support.

A fast, secure WebAssembly runtime that runs lightweight containers anywhere — from desktop and cloud to the edge and the browser.

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.

Git, but better — a modern version control client with stacked branches, parallel workflows, unlimited undo, and first-class support for AI-powered development.

The open-source AIOps and alert management platform that unifies 130+ monitoring tools into a single pane of glass with AI-powered correlation, deduplication, and workflow automation.

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.

Compose, extend, and observe every backend service in real time using three primitives: Workers, Functions, and Triggers.

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.

Automate SSL certificate lifecycle across any CA, 24+ DNS providers, and every major secret store — with a REST API, web dashboard, and built-in MCP server for AI-driven ops.

Visual ETL that compiles to Polars — build pipelines on a canvas, export as standalone Python, and run anywhere without platform lock-in.

Define AI agent workflows as code graphs, route tasks across any LLM, and intervene only where it matters.

Open-source Webhooks-as-a-Service: deliver events to your users with auto-retry, signed payloads, and a real-time subscriber dashboard — all without building the infrastructure yourself.

A self-hosted Rust PaaS that replaces Vercel, Sentry, PostHog, Pingdom, Resend, and E2B with one binary — plus 440+ CLI operations agents like Claude Code can drive directly.

A keyboard-driven terminal dashboard for managing cron jobs on local machines and remote servers via SSH.