#16
B
Rank #160
Dify
A full LLM application development platform with visual workflow building, RAG pipelines, and agent orchestration. Standout trait is enterprise-oriented breadth, delivered as a genuinely heavy multi-service stack.
64.8
/ 100
⚙ Full Stack
Python/Flask API server, a separate Celery-style async worker, Next.js web frontend, Postgres for app data, Redis for caching/queues, and a vector DB (Weaviate/Qdrant) for embeddings.
📈 Scaling Analysis
The API and worker tiers scale horizontally independently, but the sheer number of stateful dependencies (Postgres, Redis, vector DB) makes this an Expert-tier deployment where the coordination overhead, not any single component, limits how fast teams can actually scale it up.
🚀 Running on Nexlayer
Requires a 6+ pod layout: dify-api, dify-worker, dify-web, a postgres pod (postgres.pod:5432), a redis pod (redis.pod:6379), and a vector-db pod (weaviate.pod:8080); all internal calls should use <podName>.pod:<port>, never localhost. Mirror Docker Hub base images via mirror.gcr.io.