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https://github.com/blindp3w/readsbstats

ADS-B flight history & web UI for readsb
https://github.com/blindp3w/readsbstats

ads-b adsb aviation fastapi flight-tracking mlat raspberry-pi readsb sqlite tar1090

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ADS-B flight history & web UI for readsb

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# readsbstats

[![Tests](https://github.com/blindp3w/readsbstats/actions/workflows/test.yml/badge.svg)](https://github.com/blindp3w/readsbstats/actions/workflows/test.yml)
[![Release](https://img.shields.io/github/v/release/blindp3w/readsbstats)](https://github.com/blindp3w/readsbstats/releases/latest)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)

Extended flight history and track logging for [readsb](https://github.com/wiedehopf/readsb) ADS-B receivers, with a web UI for browsing historical flights and statistics.

Designed to run alongside readsb, tar1090, and feed clients on a **Raspberry Pi 4** without overwhelming it.

readsb and tar1090 give you a great live view — readsbstats adds the other half: a persistent SQLite history of every flight, a full-featured browser UI for exploring it, Telegram notifications for military and watchlist aircraft, and a receiver health dashboard backed by months of metrics.

> 🤖 **About this project:** readsbstats was entirely vibecoded with [Claude Code](https://claude.com/claude-code). Every line of code, test, and configuration in this repository was generated by AI under the maintainer's direction — not a single line was written by hand.

## Screenshots

| | |
|---|---|
| ![Live map](docs/screenshots/v2/map_v2_2.png) | ![Aircraft gallery](docs/screenshots/v2/gallery_v2_1.png) |
| Live map — Live / Rewind / HIST modes, bottom command bar, position heatmap, coverage overlay | Gallery — military, interesting, and anonymous (non-ICAO hex) aircraft with photos |
| ![Statistics](docs/screenshots/v2/statistics_v2_1.png) | ![Flight details](docs/screenshots/v2/flight_details_v2_1.png) |
| Statistics — summary tiles, hourly activity chart, DOW×hour heatmap, top-N datasets | Flight detail — photo, route, altitude/speed chart, full position log |
| ![Receiver metrics](docs/screenshots/v2/metrics_v2_2.png) | ![Polar range and top statistics](docs/screenshots/v2/statistics_v2_2.png) |
| Metrics — 9 health checks (baseline-aware) above 10 time-series charts (ECharts, LTTB) | Statistics — polar coverage range plot and top aircraft types, airlines, routes |

## Features

- Collects aircraft positions every 5 seconds from readsb's `aircraft.json`
- Groups positions into flights (30-minute silence gap = new flight); tracks ADS-B vs MLAT per position
- Stores everything in SQLite — no extra database server
- Aircraft enrichment: registration, type, operator from [tar1090-db](https://github.com/wiedehopf/tar1090-db) (~620k aircraft)
- Aircraft photos: Planespotters.net → airport-data.com → hexdb.io → Wikipedia type fallback; cached 30 days
- Military, interesting & anonymous (non-ICAO hex) aircraft detection, badges, and gallery
- Route enrichment via [adsbdb.com](https://www.adsbdb.com/) — origin/destination airport per flight
- Live map with **Live / Rewind / HIST** modes — rewind from "now" or jump to any moment within `map_history_hours` via a date+time picker; bottom command bar with playback scrubber, range pills, position heatmap, and coverage range overlay; responsive down to iPhone
- Telegram notifications for military/interesting/anonymous/watchlist/emergency-squawk events; interactive bot commands
- Aircraft watchlist — track by ICAO hex, registration, or callsign prefix
- Receiver metrics dashboard with 10 time-series charts (Apache ECharts canvas, cross-panel hover sync, wheel/pinch zoom, LTTB downsampling) and 9 health checks
- Optional [DuckDB](https://duckdb.org/) analytical accelerator for heatmap/coverage (`RSBS_USE_DUCKDB=1`)
- Unit switching: Aeronautical / Metric / Imperial — persisted in browser
- SQLite crash-safety (`synchronous=FULL` + WAL) with dirty-shutdown detection and weekly/monthly integrity checks via systemd timers

## Requirements

- Raspberry Pi 4 (or any Linux machine) running Ubuntu 22.04 / 24.04
- [readsb by wiedehopf](https://github.com/wiedehopf/readsb) writing JSON to `/run/readsb/`
- Python 3.10+
- nginx (for the `/stats/` reverse proxy)

## Installation

```bash
# 1. Sync source to the Pi (from your Mac/PC)
rsync -avz --delete \
--exclude='.git' --exclude='__pycache__' --exclude='*.pyc' \
--exclude='.venv' --exclude='*.egg-info' \
--exclude='docs' --exclude='db' --exclude='.DS_Store' \
--exclude='*.db' --exclude='*.db-wal' --exclude='*.db-shm' \
--exclude='frontend/node_modules' --exclude='frontend/.vite' --exclude='frontend/coverage' \
--exclude='internal_docs' --exclude='.claude' --exclude='CLAUDE.md' \
/path/to/readsbstats/ pi@your-pi:/tmp/readsbstats/

# 2. SSH into the Pi and run the installer as root
ssh pi@your-pi
sudo bash /tmp/readsbstats/scripts/install.sh
```

The installer creates a `readsbstats` system user, sets up `/opt/readsbstats/` with a Python virtualenv, creates the SQLite database, and installs systemd services.

After installation, set your receiver coordinates:

```bash
systemctl edit readsbstats-collector readsbstats-web
```

```ini
[Service]
Environment="RSBS_LAT=YOUR_LATITUDE"
Environment="RSBS_LON=YOUR_LONGITUDE"
```

Then restart services and open **`http://YOUR_PI_IP/stats/`**.

### nginx setup

Add one line to your nginx `server {}` block:

```nginx
server {
include /opt/readsbstats/nginx-readsbstats.conf;
}
```

The conf file proxies `/stats/` to uvicorn at `127.0.0.1:8080` and serves the SPA's hashed asset bundles directly with long-cache headers.

## Resource usage

| Service | CPU quota | Memory limit |
|---|---|---|
| collector | 15% | 192 MB |
| web server | 50% | 1024 MB |

Database growth: ~50–150 MB/month at 5-second polling with 90-day position retention.

## Project structure

```
readsbstats/
├── src/readsbstats/ # Python package
│ ├── collector.py # Polling daemon, flight detection, writes
│ ├── web.py # FastAPI app, JSON API, SPA catch-all
│ ├── database.py # SQLite schema, WAL, migrations
│ ├── config.py # RSBS_* env vars
│ ├── http_safe.py # SSRF-safe HTTP helpers (HTTPS-only)
│ ├── photo_sources.py # Planespotters → airport-data → hexdb → Wikipedia
│ ├── notifier.py # Telegram notifications
│ ├── analytics.py # DuckDB accelerator (opt-in)
│ ├── health.py # Receiver health checks
│ └── geo.py # haversine_nm, bearing
├── scripts/
│ ├── install.sh # First-time installer
│ ├── update.sh # Code sync + restart + optional DB update
│ ├── purge_ghosts.py # One-shot: remove ghost positions
│ ├── purge_bad_gs.py # One-shot: null implausible gs values
│ └── purge_mlat_gs_spikes.py # One-shot: null MLAT gs spikes
├── frontend/ # React 19 + Vite 7 SPA
├── tests/ # pytest (1330+ tests) + Playwright UI (81 tests)
├── static/airspace/ # Bundled airspace GeoJSON
├── systemd/ # Service + timer unit files
└── docs/ # Public documentation
├── configuration.md # All RSBS_* environment variables
├── api.md # API endpoints + database schema
├── integrations.md # Telegram setup + ghost/GS filtering
├── operations.md # Updating, maintenance, useful commands
├── development.md # Local dev, testing, build, deploy
├── decisions/ # Architecture Decision Records
└── screenshots/ # UI screenshots
```

## Documentation

| Guide | Contents |
|---|---|
| [Configuration](docs/configuration.md) | All 70 `RSBS_*` env vars, logging, DuckDB, airspace config |
| [API Reference](docs/api.md) | All API endpoints, SPA routes, database schema |
| [Integrations](docs/integrations.md) | Telegram setup, bot commands, ghost/GS filtering |
| [Operations](docs/operations.md) | Updating code, DB sync, useful commands, backups |
| [Development](docs/development.md) | Local setup, tests, build, deploy to Pi |
| [Architecture decisions](docs/decisions/) | ADRs for key technical choices |

## Contributing

Bug reports and pull requests are welcome — see [CONTRIBUTING.md](CONTRIBUTING.md) for setup and style guidelines. This project follows the [Code of Conduct](CODE_OF_CONDUCT.md).

## License

MIT — see [`LICENSE`](LICENSE).

The bundled frontend (`frontend/dist/`) includes Apache ECharts (Apache-2.0)
and other open-source libraries. Required attribution lives in
[`THIRD_PARTY_NOTICES.md`](THIRD_PARTY_NOTICES.md).