All Open Source Apps

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.

Git-native feature flag platform that stores, versions, and deploys feature toggles directly in your own Git repositories with no external database required.

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.

Convoy is an open-source, cloud-native webhooks gateway that ingests events over HTTP or straight from Kafka, SQS, Google Pub/Sub, and RabbitMQ, then reliably delivers them to subscriber endpoints with signed payloads, automatic retries, circuit breaking, and JavaScript-based transformations.

Turn bare metal servers into a fully managed cloud platform with a single Kubernetes-native REST API.

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

A unified open source DevOps platform combining Git hosting, CI/CD pipelines, cloud development environments, and artifact registries in a single self-hosted system.

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.

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.

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

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

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.

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

An open-source CLI that packages machine learning models into standard, production-ready Docker containers — no Dockerfile wrangling, no CUDA version hell.

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

Deploy and scale containerised apps across any servers without Kubernetes or Swarm overhead

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.