Raven
Raven is a self-hosted, real-time ML model monitoring platform designed to simplify observability for AI pipelines. It detects …
Raven is a self-hosted, real-time ML model monitoring platform designed to simplify observability for AI pipelines. It detects data drift, latency spikes, and confidence drops, providing instant alerts to ensure model reliability and performance in production environments.
Hatchet
Hatchet is a distributed, fault-tolerant task queue designed to run AI agents, background tasks, and data pipelines at …
Hatchet is a distributed, fault-tolerant task queue designed to run AI agents, background tasks, and data pipelines at scale. It offers high-throughput, low-latency performance, ensuring no task is dropped. With SDKs for Python, Go, and TypeScript, developers can easily orchestrate complex workflows, schedule jobs, and monitor execution with built-in observability tools. It can be used as a managed cloud service or self-hosted.