Skip to content

JupyterHub (DS/ML + LLM notebooks)

1. Overview

jupyterhub is an Atlas service family in the apps category. Its implementation and service-owned documentation live under services/jupyterhub/.

2. Role In Atlas

Atlas uses this service according to its manifest, topology row, SOURCE settings, dependencies, and runtime data-flow declarations.

3. Tracks And Category

  • Category: apps
  • Kind: container
  • Tracks: all, data-eng, gen-ai-eng, ml-eng, trading

4. Access

  • Kong aliases: jupyter.localhost
  • Port variables: JUPYTERHUB_PORT

5. Configuration

  • SOURCE variables: JUPYTERHUB_SOURCE
  • Default SOURCE values: container
  • Available SOURCE values: container, disabled

6. Dependencies And Topology

  • Required dependencies: supabase, redis, litellm
  • Optional dependencies: minio, iceberg-rest, spark, redpanda
  • Runtime calls: litellm, hermes, weaviate, neo4j, supabase, ray, spark, redpanda, comfyui, n8n, backend, searxng, minio, iceberg-rest, mlflow, label-studio

7. Source Values

SOURCE Variable Default Values
JUPYTERHUB_SOURCE container container, disabled

8. Runtime Integration

The manifest data-flow list declares runtime calls to litellm, hermes, weaviate, neo4j, supabase, ray, spark, redpanda, comfyui, n8n, backend, searxng, minio, iceberg-rest, mlflow, label-studio. The topology row supplies aliases and port surfaces used by the generated gateway and service references.

9. Architecture

10. Operations

Use ./start.sh to configure this service through the wizard or pass the matching SOURCE flag when the service is source-configurable. Use ./stop.sh to stop the active Atlas project.

11. Source Documentation