• Repository structure
• Features
• Prerequisites
• Quick start
  • Servers
  • Clients
• Configuration
  • Environment variables
• Ports
• Troubleshooting
• Development helpers (Ubuntu 24.04)
• Notes on reverse proxy (Traefik)
• Contributing

Local-first Data engineering and AI workspace with dockerized services, helper scripts, and Python clients.

• AI agents (Ollama + Open WebUI)
• Object storage (MinIO) with event bus (RabbitMQ)
• Centralized structured logging (Seq)
• RStudio Server for R analytics
• Ubuntu provisioning notes and developer setup scripts.

|--.
|  |-- ai-agents/        # Local AI stack (Ollama + Open WebUI) and model bootstrap
|  |-- development/      # One-off scripts to set up dev tools on Ubuntu
|  |-- minio/            # MinIO object storage: server compose + Python client
|  |-- pipelines/        # AutoML pipeline docs and diagrams (conceptual)
|  |-- rstudio-server/   # RStudio Server via Docker Compose (+ R frameworks notes)
|  |-- seq/              # Seq logging: server compose + Python client
|  |-- ubuntu-os/        # Ubuntu 24.04 tips, packages, disks/network, users
|  `-- README.md

• Local AI stack with Ollama and Open WebUI for chat and coding assistance
• RStudio Server for R analytics and data science
• MinIO S3-compatible object storage with optional RabbitMQ notifications
• Seq centralized logging with structured logs
• Minimal Python clients for MinIO and Seq
• Clear, scriptable startup via Docker Compose and small helper scripts

• Linux (tested on Ubuntu Server 24.04)
• Docker Engine and Docker Compose plugin
• Optional: Python 3.11+ for the MinIO/Seq client examples

Folder: ai-agents/ — see more in that folder's README.

cd ai-agents

# Start services (Ollama + Open WebUI; model-downloader will fetch baseline models)
docker compose up -d

# Watch model downloads
docker compose logs model-downloader -f

# Open the chat UI
# http://localhost:3000

Services:

• Ollama: http://localhost:11434
• Open WebUI: http://localhost:3000

Folder: rstudio-server/server/

cd rstudio-server/server

# Set a password for the rstudio user
echo "RSTUDIO_PASSWORD=<your-password>" > .env

# Start RStudio Server
docker compose up -d

# Open the IDE
# http://localhost:8787 (username: rstudio, password: from .env)

Notes:

• Port is bound to 127.0.0.1:8787 by default.
• The compose file mounts the relative directories ./projects, ./data, and ./apps into the container at /home/rstudio/.
• Extra tips and R package guidance live in rstudio-server/ds-frameworks/README.md.

Folder: minio/server/

cd minio/server

# Required secrets
cat > .env << 'EOF'
MINIO_ROOT_PASSWORD=<strong-password>
RABBITMQ_ROOT_PASSWORD=<strong-password>
# Optional, only used if you run behind Traefik
# PRIMARY_DOMAIN=example.com
EOF

# Create network/volumes and start services
bash ./run.sh

# MinIO S3 API:  http://localhost:9000
# RabbitMQ UI:   http://localhost:15672  (user: admin, pass: from .env)

Notes:

• The MinIO Console runs on port 9001 inside the container. It's exposed via Traefik labels if you have a proxy configured; no direct host port is published here.

Folder: seq/server/

cd seq/server

# Start (creates network/volume and launches the container)
bash ./run.sh

# Access
# This compose is set up for reverse proxy via Traefik (labels only).
# Publish ports or configure Traefik+PRIMARY_DOMAIN to access the UI.

Folder: minio/client/

cd minio/client
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt

See minio/client/clients.py for Pandas/Polars put/get helpers.

Folder: seq/client/

cd seq/client
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt

Configure seq/client/config.yml with your Seq endpoint and API key, then wire a logger using LoggerFactory in seq_logger.py.

Most services read configuration from simple .env files or inline compose env. Keep secrets out of VCS.

• AI Agents (ai-agents/.env)
  • WEBUI_SECRET_KEY — optional secret for Open WebUI (set if enabling auth)
• RStudio (rstudio-server/server/.env)
  • RSTUDIO_PASSWORD — password for the rstudio user
• MinIO/RabbitMQ (minio/server/.env)
  • MINIO_ROOT_PASSWORD — MinIO root password
  • RABBITMQ_ROOT_PASSWORD — RabbitMQ admin password
  • PRIMARY_DOMAIN — optional, used by Traefik labels
• Seq client (seq/client/config.yml)
  • logger_settings.seq.server_url, api_key — endpoint and API key

• Open WebUI: 3000 (host)
• Ollama: 11434 (host)
• RStudio Server: 8787 (bound to 127.0.0.1)
• MinIO S3 API: 9000 (host)
• RabbitMQ: 5672 (AMQP), 15672 (management UI)
• Seq: not exposed by default (Traefik labels included; add ports or a proxy)

• Port already in use
  • Check with lsof -i :PORT and stop conflicting process or change the mapping in compose.
• Docker permission denied
  • Add your user to the docker group: sudo usermod -aG docker $USER && newgrp docker.
• Models downloading slowly (AI Agents)
  • Watch model-downloader logs; ensure adequate bandwidth and disk space.
• RStudio login issues
  • Ensure .env has RSTUDIO_PASSWORD and the service is reachable on 127.0.0.1:8787.
• MinIO/RabbitMQ not starting
  • Verify .env secrets and that the backend Docker network exists (created by the run script).

Folder: development/ — curated scripts for setting up a workstation/server.

• docker.sh — Docker Engine + Compose
• conda.sh — Miniconda
• uv_and_ruff.sh — Python packaging (uv) and linting (ruff)
• dotnet_tools.sh — .NET SDK
• azure_tools.sh — Azure CLI/tools
• git_configure.sh — Git username/email and quality-of-life settings
• plus others for CI/CD, system design, and optional tools

General OS tips live in ubuntu-os/README.md (packages, disks, network, users, and more).

Some compose files include labels for Traefik and refer to PRIMARY_DOMAIN in a .env. If you're not running a reverse proxy, you can still use the services via the published ports shown above or optionally add explicit ports: mappings to the compose files.

Contributions are welcome! If you spot an issue or have an improvement:

• Open an issue describing the problem or proposal
• For changes, fork the repo and open a PR with a concise description and testing notes
• Keep changes focused and documented; prefer small, reviewable PRs