All Open Source Apps

The open source AI engineering platform for debugging, evaluating, monitoring, and optimizing production LLMs and agents at scale.

Self-hosted Backend-as-a-Service for Node.js with REST, GraphQL, real-time Live Query, cloud code, and pluggable adapters for any infrastructure.

Distributed SQL database for real-time analytics at scale

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

Open-source enterprise data warehouse unifying analytics, vector search, full-text search, and AI agent orchestration in a single Rust-built engine on S3.

Self-hosted website change detection with AI-powered smart alerts, browser automation, price tracking, and 85+ notification channels.

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.

Open-source vector database and search engine built in Rust for production-grade AI applications — from semantic search to RAG pipelines and recommendation systems.

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

A fast, fully static, and secure self-hosted startpage with Docker service discovery and integrations for over 160 services.

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.

Self-hosted monitoring for every service you run — 23 monitor types, 95 notification channels, live dashboards, and public status pages with no vendor lock-in.

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 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.

Open-source, embedded vector database built on the Lance columnar format for fast multimodal search across billions of vectors, backed by Y Combinator (W23).

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

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

Born out of Y Combinator's S2023 batch, ParadeDB is a Postgres extension that delivers Elasticsearch-quality BM25 search and real-time analytics without a separate search cluster to manage.

Cloud-native search engine for logs and traces, delivering sub-second search directly on S3, GCS, or Azure Blob storage at a fraction of Elasticsearch's cost.

Embedded KV store built on object storage with zero replication cost

Fast, lightweight, schema-less search backend in Rust — microsecond queries, 30MB RAM, no document storage required.

A temporal, verifiable graph database with git-like branching, integrated vector/text/geo search, and RDF/SPARQL/JSON-LD/openCypher support — benchmarked at 10.4x faster than the next database on the full Wikidata dump.

Detect malicious network traffic using 47+ live threat feeds, heuristics, and a fat-client reporting dashboard — no commercial stack required.

A graph-vector database built from scratch in Rust that unifies graph traversal, vector search, key-value, and relational storage into a single platform for AI applications.