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.

Privacy-first, self-hosted analytics and customer engagement platform with full data ownership, GDPR compliance, and AI-powered insights across mobile, web, desktop, and IoT.

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.

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.

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 reporting platform to build live dashboards from SQL, NoSQL, APIs, and SaaS tools with an AI assistant that creates charts from natural language.

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

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

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.

Self-hosted WakaTime-compatible coding statistics backend that gives developers full control over their coding activity data.

eBPF-powered observability with AI root cause analysis — zero code changes required, full-stack visibility out of the box.

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.

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

Run AI workloads at scale with a Pythonic serverless runtime that handles GPU inference, background jobs, and sandboxes with zero infrastructure overhead.

Self-hosted OSINT dashboard that fuses 60+ live intelligence feeds — flight tracking, ship AIS, satellites, CCTV, seismic and radio networks — into one real-time map, with an agent-ready command channel for AI co-analysts.

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.