🌐 Atlas - Network Infrastructure Visualizer (Go-powered)
Atlas is a full-stack containerized tool to scan, analyze, and visualize network infrastructure dynamically. Built with Go, FastAPI, NGINX, and a custom React frontend, it provides automated scanning, storage, and rich dashboards for insight into your infrastructure.
🌍 Live Demo
🔗 URL: https://atlasdemo.vnerd.nl/
👤 Username: admin
🔑 Password: change-me
🚀 What It Does
Atlas performs three key functions:
-
Scans Docker Containers running on the host to extract:
- IP addresses (supports multiple IPs per container)
- MAC addresses (supports multiple MACs per container)
- Open ports
- Network names
- OS type (from image metadata)
- Each network interface is tracked separately
-
Scans Local & Neighboring Hosts on the subnet to:
- Detect reachable devices
- Retrieve OS fingerprints, MACs, and open ports
- Populate a full map of the infrastructure
-
Visualizes Data in Real-Time:
- Serves an interactive HTML dashboard via Nginx
- Hosts a FastAPI backend for data access and control
- Uses a React frontend to render dynamic network graphs
🖼️ Screenshots
🖥️ Desktop View
📱 Mobile View
💡 Tip: Click on any screenshot to view the full-size image
🚀 Deployment (Docker)
Run Atlas with optional port configuration:
docker run -d \
--name atlas \
--network=host \
--cap-add=NET_RAW \
--cap-add=NET_ADMIN \
-v /var/run/docker.sock:/var/run/docker.sock \
-e ATLAS_UI_PORT='8884' \
-e ATLAS_API_PORT='8885' \
-e ATLAS_ADMIN_USER='admin' \
-e ATLAS_ADMIN_PASSWORD='change-me' \
-e ATLAS_AUTH_TTL_SECONDS='86400'
-e FASTSCAN_INTERVAL='3600' \
-e DOCKERSCAN_INTERVAL='3600' \
-e DEEPSCAN_INTERVAL='7200' \
-e SCAN_SUBNETS="192.168.1.0/24,10.0.0.0/24" \
keinstien/atlas:{tag}
Environment Variables:
ATLAS_UI_PORT – Sets the port for the Atlas UI (Nginx). Default: 8888.
ATLAS_API_PORT – Sets the port for the FastAPI backend. Default: 8889.
ATLAS_ADMIN_USER – Admin username for login (single user). Default: admin.
ATLAS_ADMIN_PASSWORD – Enables UI/API authentication when set (required password for login). Default: disabled.
ATLAS_AUTH_TTL_SECONDS – Session lifetime in seconds. Default: 86400 (24h).
FASTSCAN_INTERVAL – Interval in seconds between fast scans. Default: 3600 (1 hour).
DOCKERSCAN_INTERVAL – Interval in seconds between Docker scans. Default: 3600 (1 hour).
DEEPSCAN_INTERVAL – Interval in seconds between deep scans. Default: 7200 (2 hours).
SCAN_SUBNETS – Comma-separated list of subnets to scan (e.g., “192.168.1.0/24,10.0.0.0/24”). If not set, Atlas will auto-detect the local subnet. This allows scanning multiple networks including LAN and remote servers.
If not set, defaults are used (UI: 8888, API: 8889, scan intervals as shown above).
Example endpoints:
- UI:
http://localhost:ATLAS_UI_PORT
- API (from exposed API port):
http://localhost:ATLAS_API_PORT/api/docs
- API (based on nginx conf):
http://localhost:ATLAS_UI_PORT/api/docs
🔐 Authentication
Atlas authentication is optional and disabled by default.
- Enable auth: set
ATLAS_ADMIN_PASSWORD (and optionally ATLAS_ADMIN_USER).
- UI behavior: when auth is enabled, the UI shows a login gate before any data is rendered.
- API behavior: when auth is enabled, core endpoints (hosts, external, scripts, logs, scheduler, containers) require a token.
Relevant auth endpoints:
GET /api/auth/enabled – returns whether auth is enabled
POST /api/auth/login – returns a bearer token
GET /api/auth/me – validates current token
POST /api/auth/logout – invalidates the current token
Scan Scheduling:
Atlas automatically runs scans at the configured intervals. You can:
- Set initial intervals via environment variables (see above)
- Change intervals dynamically through the Scripts Panel in the UI
- Manually trigger scans via the UI or API at any time
The scheduler starts automatically when the container starts and runs scans in the background.
⚙️ How it Works
🔹 Backend Architecture
-
Go CLI (atlas)
- Built using Go 1.22
- Handles:
initdb: Creates SQLite DB with required schema
fastscan: Fast host scan using ARP/Nmap
dockerscan: Gathers Docker container info from docker inspect
deepscan: Enriches data with port scans, OS info, etc.
-
FastAPI Backend
- Runs on
port 8889
- Serves:
/api/hosts – all discovered hosts (regular + Docker)
/api/external – external IP and metadata
-
NGINX
- Serves frontend (React static build) on
port 8888
- Proxies API requests (
/api/) to FastAPI (localhost:8889)
📂 Project Structure
Source Code (Host Filesystem)
atlas/
├── config/
│ ├── atlas_go/ # Go source code (main.go, scan, db)
│ ├── bin/ # Compiled Go binary (atlas)
│ ├── db/ # SQLite file created on runtime
│ ├── logs/ # Uvicorn logs
│ ├── nginx/ # default.conf for port 8888
│ └── scripts/ # startup shell scripts
├── data/
│ ├── html/ # Static files served by Nginx
│ └── react-ui/ # Frontend source (React)
├── Dockerfile
├── LICENSE
└── README.md
Inside Container (/config)
/config/
├── bin/atlas # Go binary entrypoint
├── db/atlas.db # Persistent SQLite3 DB
├── logs/ # Logs for FastAPI
├── nginx/default.conf # Nginx config
└── scripts/atlas_check.sh # Entrypoint shell script
🧪 React Frontend (Dev Instructions)
This is a new React-based UI.
🛠️ Setup and Build
cd /swarm/data/atlas/react-ui
npm install
npm run build
The built output will be in:
/swarm/data/atlas/react-ui/dist/
For development CI/CD (for UI and backend and build a new docker version):
/swarm/github-repos/atlas/deploy.sh
🚀 CI/CD: Build and Publish a New Atlas Docker Image
To deploy a new version and upload it to Docker Hub, use the provided CI/CD script:
-
Build and publish a new image:
/swarm/github-repos/atlas/deploy.sh
- The script will prompt you for a version tag (e.g.
v3.2).
- It will build the React frontend, copy to NGINX, build the Docker image, and push both
keinstien/atlas:$VERSION and keinstien/atlas:latest to Docker Hub.
-
Why push both tags?
- Version tag: Allows you to pin deployments to a specific release (e.g.
keinstien/atlas:v3.2).
- Latest tag: Users can always pull the most recent stable build via
docker pull keinstien/atlas:latest.
-
The script will also redeploy the running container with the new version.
Example output:
🔄 Tagging Docker image as latest
📤 Pushing Docker image to Docker Hub...
✅ Deployment complete for version: v3.2
Note: Make sure you are logged in to Docker Hub (docker login) before running the script.
🌍 URLs
-
Swagger API docs:
🌍 http://localhost:8888/api/docs (Host Data API endpoint)
-
Frontend UI:
🖥️ UI http://localhost:8888/ (main dashboard)
📊 http://localhost:8888/hosts.html (Hosts Table)
🧪 http://localhost:8888/visuals/vis.js_node_legends.html (legacy test UI)
Default exposed port is: 8888
📡 Scheduler API Endpoints
New scheduler management endpoints:
GET /api/scheduler/intervals - Get current scan intervals for all scan types
PUT /api/scheduler/intervals/{scan_type} - Update interval for a specific scan type (fastscan, dockerscan, or deepscan)
GET /api/scheduler/status - Get scheduler status and current intervals
Example:
# Get current intervals
curl http://localhost:8888/api/scheduler/intervals
# Update fastscan interval to 30 minutes (1800 seconds)
curl -X PUT http://localhost:8888/api/scheduler/intervals/fastscan \
-H "Content-Type: application/json" \
-d '{"interval": 1800}'
# Check scheduler status
curl http://localhost:8888/api/scheduler/status
✅ Features
📌 Dev Tips
To edit Go logic:
- Main binary:
internal/scan/
- Commands exposed via:
main.go
To edit API:
- Python FastAPI app:
scripts/app.py
To edit UI:
- Modify React app under
/react-ui
- Rebuild and copy static files to
/html
- automated deplolyment and publish to dockerhub using the script deploy.sh
⚙️ Automation Notes
-
Atlas runs automatically on container start.
-
All Go scan tasks run sequentially:
initdb → fastscan → deepscan → dockerscan
-
Scheduled scans are run every 30 minutes via Go timers.
-
No cron dependency required inside the container.
-
Scans can also be manually triggered via the UI using API post request.
👨💻 Author
Karam Ajaj
Infrastructure & Automation Engineer
https://github.com/karam-ajaj
📝 License
MIT License — free for personal or commercial use.
📚 Documentation
🤝 Contributing
Suggestions, bug reports, and pull requests are welcome!
Star History

评论