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.

Distributed SQL database for real-time analytics at scale

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

Developer-first error tracking and performance monitoring platform with AI-powered root-cause analysis across 20+ languages and frameworks.

Continuous localization platform that commits translations directly into your version control system with full translator attribution.

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.

Google's internal tool, open-sourced, for transforming and moving code between repositories — keeping a confidential and public repo in sync, importing external contributions into an authoritative repo, or migrating code once.

Open source AI gateway and Python SDK that gives you one OpenAI-compatible interface to call 100+ LLM providers, with built-in routing, cost tracking, guardrails, and virtual keys.

The all-in-one open source product platform combining analytics, session replay, feature flags, error tracking, AI observability, and a built-in data warehouse in a single self-hostable stack.

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.

A high-performance, open-source time-series database built for financial market data, IoT telemetry, and real-time analytics, combining a zero-GC Java/C++ core with SIMD-accelerated SQL and a WAL-to-Parquet storage engine.

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 payments infrastructure that turns software into a business — subscriptions, usage-based billing, digital products, and merchant-of-record compliance in one platform.

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.

Open-source no-code platform to build databases, apps, automations, and AI agents — self-hosted or cloud, with full data ownership.

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.

A local desktop hub that unifies SSH, Docker, Kubernetes, VMs, and remote desktops into one interface — no agents, no remote setup.

Turn messy real-world dataframes into machine learning features — no manual wrangling required.

Compress everything your AI agent reads — tool outputs, logs, RAG chunks, and files — before it reaches the LLM, achieving 60–95% fewer tokens with the same answers.

Secure, fast, and extensible sandbox runtime for AI agents with multi-language SDKs and Docker/Kubernetes runtimes.

An open-source context database that gives AI agents a unified filesystem for memory, resources, and skills with hierarchical tiered retrieval.

Self-hosted error tracking that accepts Sentry SDKs out of the box, so you keep your instrumentation and drop the monthly bill.

Drop your files and search them instantly — no vector DB, no indexing pipeline, just raw data queried by a self-evolving intelligence layer.