CarCharts is a simple & powerful app to compare car models visually.
- Compare any number of cars simultaneously.
- Specification database contains more than a 1 000 models with more than 10 000 bodystyle/engine variations. The database includes the majority of car models sold in Europe in recent years.
- More than 25 comparison parameters.
- Support metric, UK or US unit systems.
- App works offline, no internet connection required.
- Use iPhone for adhoc comparisons and iPad for large comparisons with tons of models.
- View specs and photos.
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Search: 445 objects, all in memory
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When groups are used both for non-filtered list and for fitlered one first letter 2 / 20 (sometimes 10 / 100) next letters .2 / 2 (only if consequent search is used)
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Without grouping - almost the same, so indexation takes almost no time.
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Modification Loading (after RM update)
- 42 / 335 ms - plist hash loading
- 19 / 160 ms - plist array loading
- 00 / x ms - json loading
- 00 / x ms - json loading
- 47 / x ms - json array loading
- 53 / 460 ms - Modification instantiation
- 12 / 115 ms - Modification instantiation without key parsing
- 07 / 70 ms - indexing
- 55 / 450 ms - load all
- 02 / x ms - load metadata
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App Initialization — 10ms : 50ms (Core Data : plist)
Mods are stored in the CoreData database. Everything else is in plist files which are loaded into memory at runtime.
- Mod - RO, 2500 objects, many fields
- Model - RO, 250 objects, few fields
- Brand - RO, 50 objects, few fields
- Parameter - RO, 20 objects, few fields
- ModSet - RW, 0-20 objects, 2 fields, one 0-3kb clob
- Comparison - VT, 1 object at time, lots of subobjects
Conclusion
- Mods should be stored in the r/o database, because it's too time consuming to load them all at once and storing them all in memory is a bit too much.
- ModSets should be stored in the r/w database.
- Everything else can be loaded from code / data files.
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214 27 38 - segment control border (one of)
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214 18 76 : 213 24 71 - segment control default top
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213 28 69 - segment control default bottom
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213 28 75 : 214 45 65 - segment control selected top
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215 53 60 - segment control selected bottom
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215 41 61 - segment control border top half (act. light gradient)
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215 68 49 - segment control border bottom half
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220 49 90 - Done button top top
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220 75 88 - Done button top bottom
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220 85 87 - Done button bottom
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220 74 56 - Done button border
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201 05 87 - gray top
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206 08 80 - gray bottom
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210 17 58 - gray border
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240 00 78 - gray border 2 top
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000 00 59 - gray border 2 bottom
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000 00 45 : 000 00 15 - black segment button top
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000 00 00 - black segment button botom
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000 00 18 - black segment button border
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000 00 56 : 000 00 24 - black segment button divider
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218.42.91-219.80.85 - ios 6 Done button t-b / mid = 218.60.85
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218.78.54-218.75.55 - ios 6 Done button border t-b
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214.22.76-215.54.56 - ios 6 Back button t-b
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214.27.45-213.50.36 - ios 6 Back button border t-b
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212.16.80-212.37.64 - ios 6 segment button t-b / mid 214.29.69
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216.26.66-215.44.56 - ios 6 segment divider t-b
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211.18.46-213.35.42 - ios 6 segment button border t-b
- brown hsb(30, 100, 15)
- gray hsb(0, 0, 20)
- blue hsb(210, 100, 25)
rake icon_from_svg file=ico-chart size=60
convert -background transparent ico-bar.svg -resize 60x60 ico-bar.png
convert ico-bar.png -background white -flatten ico-bar-2.png
convert -list font | grep Font:
Dodge RAM - 51 Mitsubishi Lancer Ralliart – 50 Audi A6 allroad quattro - 48 MB GLK - 47
icon8 — require to mention them on the AppStore page. pixeden — no atribution cupertinoline — no atribution
my tab-chart open tab-star open cell-google pixeden tab-checkbox pixeden tab-car pixeden tab-filter icon8 tab-funnel icon8 bar-filter misc bar-expand cupertinoline bar-gear
ITC Blair Medium 14pt (small-caps, commersial) Orbitron Medium 17pt (geometric, open-source)
US
MPG gal lbs ft3 in
Displacement: L & cu. in.
Trunk volume
Track Width / Tread / Front Track / Rear Track
jaguar.uk Front Track Rear Track
4WD 2WD
Fuel System: some kind of injection
torque Ft. Lbs
Lb-Ft lb.ft
cargo colume cargo cu.ft
fuel gal
3.6-Liter V6 24-Valve VVT Engine
UK mpg mph | kg litre mm kW HP Nm | lb-ft bhp
Everybody uses MPG and MPH
PS is used a lot
toyota and other don't use in, lb, gal at all
CO2 — g/km
38.7 mpg (combined)
litre, kg
0-62 mph/s
max speed mph
fuel type: pertol diesel
KW PS Nm @ rpm
size: mm
torque lb-ft @ rpm
fuel: litre / UK gallons
suzuki repeats all in inches and pounds
landrover.co.uk: litre HP Nm cc mph 117 0-60mph, CO2 162 g/km, 40.4 mpg (urban combined), 4,555mm, 2,200kg
cc to cu. in. 16.387
mm to inch 25.4
Nm to lb-ft 0.74
Number of Cylinders / No. of Cylinders
Number of Valves
Max Power
Max Torques
Overall length
Max Speed
10 get the initial files manually
generations.html: <audi-a4-2011> <ford-focus-2014> <bmw-3-2014>, ...
11 parse to URLs
generation-bodies-first.yaml: audi-a4-2011: /audi/a3/123456/specs, ...
12 load initial bodytype
generations/mark-model-year.html ...
13 parse initial bodytype for other bodytypes
generation-bodies-other.yaml: audi-a4-2011-hatch3d: /audi/a3/123456/456789/specs, ...
14 load other bodytypes
generations/mark-model-year-bodytype.html ...
20 parse bodytypes (both) for mod URLs
mods.yaml: bmw-3-2014-sedan--1.8T-200ps-AT-FWD => /bmw/1/123456/456789/654987 (or name file like bmw-3-6123456-6789654)
30 load mods
mods/*.html
40 parse mods
CarBase — 1$ https://www.appannie.com/apps/ios/app/898424389/ CarCompare — free Automobile Specs - Murat Tanriover - 1$ Ojuu — html shit