"Tabor" is Polish for rolling stock. Warsaw runs about 2 600 buses and trams
in regular service, split across 44 models. Some models have hundreds of
vehicles, and some have four. On top of that come 36 kinds of museum and club
vehicles, Tramwaje Warszawskie's works cars, and the odd bus on trial. Every vehicle carries a fleet number, and
ZTM's database says which model each number belongs to. So a photo of a bus is
enough to know exactly what you've seen, and a list of every number is enough to
know what you haven't.
TABOR does both halves. CATCH reads the fleet number off your photo, on the
phone. BOOK files the vehicle under its model and batch. HUNT
shows every vehicle you haven't caught yet, live, on a map, and follows one to
your stop on the Lock Screen. ME keeps the score.
Install
Get it on the App Store: apps.apple.com/app/tabor/id6816408610
(iPhone, iOS 18 or later, free). Bug reports and ideas go in
issues, and questions in
discussions.
CONTRIBUTING.md says what makes a report or a pull request easy to act on.
Po polsku: opis i instalacja na thefilip.com/tabor.
Or build it yourself. Open the project in Xcode 27 and run it on your phone:
open Tabor.xcodeproj
Set your own team under Signing & Capabilities for the Tabor, TaborControls
and TaborShare targets.
The live map and the live-assisted number reading use Warsaw's open data. The
app doesn't carry a key: it asks TABOR's proxy (proxy/, a Cloudflare Worker
running in Warsaw), which holds the key, keeps each copy of the feed for 3
seconds so phones share one call to the city, gzips it, and allows each address
60 calls a minute. Builds from this repo use that proxy as they are. To go
direct instead, paste a free key from
dane.um.warszawa.pl into Settings › Live data. To
run your own proxy, change the domain in proxy/wrangler.toml and
TABOR_LIVE_PROXY in Config/Tabor.xcconfig, then:
cd proxy && npx wrangler secret put DANE_TOKEN && npx wrangler deploy
CATCH
- The number is read from the shot. Take the photo and Vision's text
recogniser reads the part inside the brackets, on the phone. If the whole
frame gives nothing, or only a short number, it's read again as nine
overlapping tiles, so a small number on a whole-vehicle shot has enough
pixels. The live preview isn't read at all: that only cost battery and heat,
and you can see the bus coming anyway.
- Only fleet numbers count. A photo of a bus is full of other digits: line
numbers, times on the destination display, and the registration plate.
- Runs glued to letters are dropped, and so are runs after a two- or three-letter
county code (
WX 2043F, WPI 12345), and plate digits that start with 0.
"Nr 1974" still counts, and so does a number with paint glued on.
- Times and decimals (
20:15, 3.14) are dropped.
- A number the database doesn't know is only kept if it's four digits long.
- One letter that looks like a digit (
1O23, I974) is read as that digit, but
only when that makes a number in the fleet, and it ranks below a clean read.
- When a photo shows only a short number, it's read again more closely, so a
line number isn't taken for the fleet number.
- It knows what's around you. With a location fix and the live feed, a number
that belongs to a vehicle within 300 m gets a boost. If the read is one digit
off a vehicle within 150 m (OCR turning 4235 into 1235), that vehicle is
offered too, though a clean read of a real number still wins. When a number
belongs to both a bus and a tram, whichever one is actually nearby settles it
(otherwise the reveal asks which one it is), and the catch gets its line
number from the feed.
- More than one in the shot. Other vehicles in the photo are offered on the
reveal as chips ("+ 5918 · ALSO IN SHOT"), each with its own sticker, and saved
as catches of their own. With the live feed they have to be running nearby.
- Coupled trams count twice. Konstal 105Na, 105N2k and Cegielski 123N run as
two cars, each with its own number, but the live feed reports a set under one
of them. So the other car isn't "fixed" into its neighbour: it's kept as read,
and it takes the set's line. The reveal offers + SECOND CAR, suggesting the
other number (from the photo, the feed or the next number along), and both cars
go in the book.
- BUS / TRAM / AUTO is a preference, not a filter. A bus number read in TRAM
mode still matches the bus. Spotters forget to switch back.
- The shot is what you framed. The viewfinder is a 3:2 photo frame, and the
saved shot is cropped to it. Zoom has one button per real lens (0.5×, 1×, 2×,
5× on a 16 Pro), so 5× is the telephoto rather than a crop of the main lens, and
the phone clicks as you cross from one lens to the next. The last button goes to
twice the longest lens (10× on a 16 Pro), for a bus that's already pulling away.
The sticker
The photo develops while the vehicle is lifted off the background. That's the
same subject-lifting model as the Photos app, running on the phone. The sticker
is cut from the object the fleet number is painted on, so another bus or a car
alongside doesn't steal it. People standing in front of the vehicle are erased,
bike included, unless erasing them would bite into the vehicle. WRONG CUTOUT?
on the reveal tries the next object in the photo.
It gets a thick white border that follows its outline, and the sticker slams
down with a haptic pattern that gets longer the rarer the model is. A COMMON
lands with one thunk. A LEGENDARY builds up in step with its glow, hits on the
frame you see it land, and ends in sparks.
A line underneath says what the catch means for your book:
One more — 1987 — and the 2024 batch is done.
Hold the sticker to peel it off the backing and stick it in the book.
HUNT
Every bus and tram you haven't caught, from Warsaw's live GPS feed. The feed is
read every 10 seconds while the map is on screen, every 30 seconds elsewhere in
the app (so trails are ready when you open the map), and never in the background.
- Two kinds of marker. A vehicle on its own is a tag with its line number. Vehicles that would
overlap become one bubble with a count. Filled means a model you don't have
yet, and outlined means a model you have but not this vehicle. The colour is always
the tier.
- Groups hold still. The bubbles are fixed squares on the map, not clusters
around the vehicles, so they don't jump about with every update as the buses move.
They only regroup when you really zoom.
- Which way it's going. The feed only says where a vehicle is. So TABOR
keeps the last ten minutes of positions, laid along the street, and draws an arrow
once a vehicle has gone 30 m. Each card says how old its position is.
- Where it goes next. Every line's route comes from ZTM's timetable data
(GTFS), rebuilt daily. A picked vehicle is placed on its route: a dotted line
shows where it goes next, the card lists its next stops and where its run
ends, and the pin creeps along to where it should be now between updates. It's
only COMING YOUR WAY if its route actually passes you; otherwise it TURNS OFF
before you.
- TRACK it. While a vehicle is coming, TRACK puts it on the Lock Screen and
in the Dynamic Island: how far away it is, how many stops are left, then HERE
with a button that opens the camera. The proxy follows the vehicle and pushes
each update, so it keeps going with the app closed.
- The map follows the one you pick. Move the map yourself and it stays where
you put it, and FOLLOW brings it back. With a heading, your dot shows which way
you're facing, and the map can turn to match.
- A wanted list. The filter takes buses or trams, whole tiers, particular
models, and specs: length, drive and low floor. Any filter but the type alone
makes HUNT search the whole city, not just the 3 km around you, and sort by
distance: if you're after one particular model, how far away it is matters most.
From outside Warsaw, a filter is the way in.
- Search. A fleet number finds that vehicle, running or not. A line lists
every vehicle on it right now.
- Three views. UNCAUGHT shows everything not in your book, MISSING only
models you don't have yet, and ALL shows everything running, caught or not. A
vehicle you've caught gets the same marker as any other model you have, and its
card says when it went into your book.
- Rarest first. Unfiltered, the list shows models you don't have yet first,
then goes by rarity, then by distance. Vintage and test vehicles sit at the end
of the book, but one that's actually out running is as rare a sight as a
LEGENDARY, so HUNT ranks them with the legendaries.
BOOK
Every model, with every vehicle ZTM lists, split into batches by operator,
build year and depot:
2024 BATCH · R-1 WORONICZA · 1970—1987
Owned stickers come first, then the gaps. A batch turns green once you have the
whole batch. Each model page has its length, drive, floor, air-con and how many
people it carries, every drive it comes in, and SHOW ON MAP for the ones running
now.
| Tier | What it takes |
|---|
| LEGENDARY | A model with 12 vehicles or fewer |
| GOLD | 48 or fewer |
| RARE | 80 or fewer |
| COMMON | Everything bigger |
| VINTAGE | Tourist and museum vehicles, only out on summer weekends and at events |
| ON TEST | Trial vehicles on loan to an operator, here for a few weeks |
| WORKS | Tramwaje Warszawskie's own works cars: measurement, transport and welding cars, out on no timetable |
Rarity is fleet size and nothing else. There's no guessing at how often a model
runs. VINTAGE, ON TEST and WORKS are tiers of their own, whatever their size,
and none counts toward the fleet percentage or the "complete a tier" badges.
They aren't rare, they're seasonal, passing through, or not for passengers.
A vehicle's page has its age, when you first saw it, how many times you've
seen it, any special livery, and every sighting: when, where (district and street),
and which line it was on. A vehicle caught more than once shows the picture you
pick. Swipe a sighting to fix its number, model or line, or delete it. A
deleted sighting can be brought back with UNDO for a few seconds.
ME
- The trophy shelf: your three rarest stickers. Then caught, the
fleet share (to one decimal place under 10%, so the first few hundred
catches visibly move it), the day streak, and how many depots you've
caught vehicles from.
- 53 badges, drawn as struck coins. Drag one to spin it: it has a rim and an
engraved back, and the phone clicks on every quarter turn. Some are tiered, from bronze up to
platinum (Collector, Fleet share, Line hopper, Photographer). Others are for
one thing: Unicorn (the only vehicle of its model in Warsaw), Twins
(back-to-back fleet numbers), Double life (a bus and a tram with the same
number), Dressed up (a special livery), Rainbow day, Every district,
Every operator, one badge per depot. Tap one to see the vehicles that earned
it, or what's still to find. A few stay secret until you earn them.
- Weather badges (snow, rain, heatwave, deep freeze, a thunderstorm) look up
each geotagged catch in Open-Meteo's archive afterwards. That's the one thing
TABOR sends off the phone: a catch's time and its rough position (to about
1 km). It can be switched off in Settings.
- ALL STATS: any month, year or all time, with catches, vehicles, models,
lines and depots, buses against trams, a calendar of the days you were out, your
hour and your day, and your top models, places, depots and lines. It shares as a
story-sized card.
- The catch log: every catch, newest first, saying which ones were a new
model or a new vehicle.
- Where you spot: a map of every geotagged catch. Tap a pin for that catch's
sticker, when and where it was, and a way to its page.
- Share a catch as a 4:5 card: the sticker under a spotlight in its tier's
colour, the number tag, and where and on which line you caught it.
Outside the app
- Widgets: Stats (a month, a year or all time, picked when you add it),
Memories (what you caught a week, a month or a year ago today), Your book,
Latest catches, Rarity sets and Sticker shuffle. Tap a sticker to open
that vehicle.
- Lock Screen tracking in the Dynamic Island and on the Lock Screen (see HUNT).
- Catch and Hunt controls for Control Center, the Lock Screen and the Action
button. "Catch a vehicle" is also in Siri, Spotlight and Shortcuts.
Fleet data
Tabor/Resources/fleet.json is built by scripts/fetch_fleet.py from two
sources: the ZTM vehicle database, and the city's open-data vehicle list, which
adds numbers ZTM hasn't listed yet and each model's specs. On top of that come
hand-kept lists for what neither has yet or has wrong: new deliveries already
running, buses on trial, club-owned vintage buses, Tramwaje Warszawskie's works
cars, retired vehicles still listed, vehicles filed under the wrong model,
coupled trams, and special liveries
(confirmed from photos, since the city's paint data misses repaints). The
script's header explains each list.
python3 scripts/fetch_fleet.py --offline
Rebuilds from the saved files in data/ in seconds. Leave out --offline to
fetch the city's list again, and add --scrape to scrape ZTM too, which takes a
while. ZTM blocks GitHub's runners, so the scrape runs from a home connection, not in CI.
Every night a GitHub Action fetches the city's list, rebuilds, runs the tests and
commits the result to main by itself. It asks for a human only when more than 20
vehicles would leave at once (a pull request) or the city lists a type no model has
yet (an issue). Corrections go into the script's lists, never into fleet.json by
hand: a check fails any commit whose fleet.json isn't what the script builds, so
the nightly rebuild can't undo a fix.
New buses don't need an app update. The app checks this repo's main for a
newer fleet.json once a day and uses it from the next launch. A downloaded
copy only wins while it's newer than the one built into the app, so an app update
with fresher data is never overridden by an old download. Settings can turn the
check off. When a model is split in two, catches move to the right one by
themselves.
Hand-added numbers come from a source (Warszawikia, TransInfo, the KMKM club,
phototrans.eu) or were seen live on the feed. None are filled in from an order
size. As soon as ZTM lists a number itself, ZTM's row wins and the hand-added one
drops out. Every source is credited at the bottom of the book.
[!NOTE]
The live feed and the database don't always agree. The feed keeps some
vehicles' last positions for years, so anything older than three minutes is
ignored. A vehicle the database doesn't know never shows on HUNT, because
TABOR couldn't say which model it is.
Your book
It lives on the phone and nowhere else: there's no account, nothing of yours
goes to a server, and no iCloud sync for now. What the app does send (the live
feed, the weather, Lock Screen tracking) is listed in the
privacy policy. Settings › Backup exports the whole book as a ZIP: every
sighting, photo, sticker and hand-picked model. Importing a backup only adds
what's missing, so importing the same file twice changes nothing.
The book keeps its own copy of each catch's photo at 1600 px, a few hundred KB
as HEIC. The shot saved to Photos stays full size.
Location is only used while the app is on screen: it geotags a catch and tells
HUNT and the camera what's nearby. There's no background location mode at all.
Lock Screen tracking sends the proxy the vehicle's number, the stretch of its
route up to your stop, and the token it pushes updates to. It's forgotten when
tracking ends.
Debug mode (Settings) saves every shot to Files › On My iPhone › TABOR ›
Debug, including failed reads and retakes. Each shot is saved with the photo, the sticker and what the OCR, the live feed and
the sticker cutter made of it. With debug mode on, long-pressing a caught sticker in the book
deletes it.
Tests
The matching, OCR filtering, stats, badges, live feed parsing, routes and backup
logic in Tabor/Core doesn't depend on the iPhone. It also builds as a Swift
package, so it's tested on a Mac in about a second:
swift test
The proxy's tracking maths has its own:
node proxy/src/trackgeo.test.mjs
GitHub Actions runs the Swift tests on every push to main and every pull request that
touches Tabor/Core, the tests or fleet.json.
Thanks
To everyone who tested the beta, and above all to
@Szpieg0, @Pepe-PL
and @flyingkonstal, whose issues found the
bugs, named the vehicles and shaped a lot of what's here. Want to help too? Start
with CONTRIBUTING.md.
