Popularity data for faker methods #3215
Replies: 3 comments 8 replies
-
To make this more useful we should also take old methods and modules into account. Seeing 0 founds for faker.name.firstName already tells me that we really missed to uncover data here. |
Beta Was this translation helpful? Give feedback.
-
Should we include these data on our website? What are the api rate limits? |
Beta Was this translation helpful? Give feedback.
-
Here the data as tables:
|
Method | Count | Since |
---|---|---|
faker.number.int | 4724 | 8.0.0 |
faker.lorem.sentence | 4498 | 2.0.1 |
faker.internet.email | 4366 | 2.0.1 |
faker.lorem.word | 4100 | 3.1.0 |
faker.string.uuid | 3073 | 8.0.0 |
faker.helpers.arrayElement | 2929 | 6.3.0 |
faker.lorem.words | 2362 | 2.0.1 |
faker.lorem.paragraph | 2350 | 2.0.1 |
faker.internet.userName | 2225 | 2.0.1 |
faker.string.alpha | 1837 | 8.0.0 |
faker.person.firstName | 1764 | 8.0.0 |
faker.datatype.boolean | 1740 | 5.5.0 |
faker.date.past | 1700 | 8.0.0 |
faker.internet.password | 1680 | 2.0.1 |
faker.commerce.product | 1330 | 3.0.0 |
faker.internet.url | 1284 | 2.1.5 |
faker.date.recent | 1240 | 8.0.0 |
faker.string.alphanumeric | 1227 | 8.0.0 |
faker.lorem.sentences | 1164 | 2.0.1 |
faker.person.lastName | 990 | 8.0.0 |
faker.internet.domainName | 798 | 2.0.1 |
faker.company.catchPhrase | 774 | 2.0.1 |
faker.image.avatar | 747 | 2.0.1 |
faker.lorem.paragraphs | 728 | 2.0.1 |
faker.finance.ethereumAddress | 679 | 5.0.0 |
faker.image.url | 584 | 8.0.0 |
faker.person.fullName | 569 | 8.0.0 |
faker.commerce.productName | 564 | 3.0.0 |
faker.word.sample | 524 | 8.0.0 |
faker.finance.amount | 507 | 2.0.1 |
faker.commerce.price | 474 | 3.0.0 |
faker.date.future | 428 | 8.0.0 |
faker.company.name | 428 | 7.4.0 |
faker.system.fileName | 411 | 3.1.0 |
faker.string.sample | 391 | 8.0.0 |
faker.internet.ip | 373 | 2.0.1 |
faker.database.column | 369 | 4.0.0 |
faker.lorem.slug | 349 | 4.0.0 |
faker.number.float | 333 | 8.0.0 |
faker.phone.number | 333 | 7.3.0 |
faker.date.between | 328 | 8.0.0 |
faker.string.numeric | 324 | 8.0.0 |
faker.helpers.fake | 319 | 7.4.0 |
faker.internet.domainWord | 313 | 2.0.1 |
faker.helpers.slugify | 299 | 2.0.1 |
faker.internet.exampleEmail | 287 | 3.1.0 |
faker.image.urlLoremFlickr | 284 | 8.0.0 |
faker.word.noun | 283 | 6.0.0 |
faker.color.rgb | 218 | 7.0.0 |
faker.word.adjective | 218 | 6.0.0 |
faker.location.city | 216 | 8.0.0 |
faker.commerce.productAdjective | 215 | 3.0.0 |
faker.internet.color | 214 | 2.0.1 |
faker.commerce.productMaterial | 210 | 3.0.0 |
faker.helpers.shuffle | 209 | 2.0.1 |
faker.lorem.text | 206 | 3.1.0 |
faker.word.words | 204 | 8.0.0 |
faker.location.country | 202 | 8.0.0 |
faker.date.month | 201 | 3.0.1 |
faker.string.hexadecimal | 200 | 8.0.0 |
faker.hacker.phrase | 199 | 2.0.1 |
faker.string.nanoid | 199 | 8.0.0 |
faker.date.weekday | 196 | 3.0.1 |
faker.database.mongodbObjectId | 196 | 6.2.0 |
faker.helpers.mustache | 195 | 2.0.1 |
faker.finance.accountName | 192 | 2.0.1 |
faker.finance.currency | 192 | 8.0.0 |
faker.location.street | 190 | 8.0.0 |
faker.internet.domainSuffix | 190 | 2.0.1 |
faker.internet.protocol | 188 | 2.1.5 |
faker.lorem.lines | 178 | 3.1.0 |
faker.hacker.noun | 176 | 2.0.1 |
faker.helpers.arrayElements | 171 | 6.3.0 |
faker.date.soon | 154 | 8.0.0 |
faker.date.anytime | 154 | 8.0.0 |
faker.commerce.department | 153 | 3.0.0 |
faker.location.zipCode | 147 | 8.0.0 |
faker.location.streetAddress | 140 | 8.0.0 |
faker.helpers.multiple | 127 | 8.0.0 |
faker.finance.creditCardNumber | 124 | 5.0.0 |
faker.system.semver | 114 | 3.1.0 |
faker.finance.iban | 113 | 4.0.0 |
faker.system.commonFileName | 112 | 3.1.0 |
faker.internet.displayName | 111 | 8.0.0 |
faker.system.filePath | 110 | 3.1.0 |
faker.color.hsl | 106 | 7.0.0 |
faker.commerce.productDescription | 104 | 5.0.0 |
faker.location.latitude | 103 | 8.0.0 |
faker.finance.currencyCode | 97 | 2.0.1 |
faker.date.birthdate | 96 | 7.0.0 |
faker.location.state | 96 | 8.0.0 |
faker.internet.ipv4 | 95 | 6.1.1 |
faker.location.countryCode | 94 | 8.0.0 |
faker.location.longitude | 91 | 8.0.0 |
faker.system.directoryPath | 90 | 3.1.0 |
faker.helpers.fromRegExp | 86 | 8.0.0 |
faker.internet.userAgent | 83 | 2.0.1 |
faker.helpers.enumValue | 80 | 8.0.0 |
faker.helpers.uniqueArray | 79 | 6.0.0 |
faker.helpers.replaceSymbols | 77 | 3.0.0 |
faker.color.hwb | 75 | 7.0.0 |
faker.color.colorByCSSColorSpace | 75 | 7.0.0 |
faker.system.mimeType | 74 | 3.1.0 |
faker.finance.accountNumber | 74 | 8.0.0 |
faker.hacker.verb | 72 | 2.0.1 |
faker.color.cmyk | 72 | 7.0.0 |
faker.color.lab | 71 | 7.0.0 |
faker.color.lch | 71 | 7.0.0 |
faker.internet.mac | 68 | 3.0.0 |
faker.person.jobTitle | 68 | 8.0.0 |
faker.system.fileExt | 67 | 3.1.0 |
faker.hacker.adjective | 66 | 2.0.1 |
faker.company.catchPhraseDescriptor | 66 | 2.0.1 |
faker.date.betweens | 65 | 8.0.0 |
faker.music.songName | 63 | 7.1.0 |
faker.number.bigInt | 62 | 8.0.0 |
faker.system.commonFileExt | 61 | 3.1.0 |
faker.image.avatarGitHub | 60 | 8.0.0 |
faker.system.commonFileType | 59 | 3.1.0 |
faker.color.human | 59 | 7.0.0 |
faker.git.commitSha | 59 | 5.0.0 |
faker.internet.ipv6 | 59 | 4.0.0 |
faker.finance.maskedNumber | 59 | 8.0.0 |
faker.finance.bitcoinAddress | 58 | 3.1.0 |
faker.finance.bic | 58 | 4.0.0 |
faker.helpers.maybe | 58 | 6.3.0 |
faker.animal.cat | 56 | 5.5.0 |
faker.word.adverb | 53 | 6.0.0 |
faker.image.urlPicsumPhotos | 51 | 8.0.0 |
faker.science.unit | 51 | 7.2.0 |
faker.finance.transactionType | 50 | 2.0.1 |
faker.image.dataUri | 50 | 4.0.0 |
faker.animal.bear | 48 | 5.5.0 |
faker.music.genre | 48 | 5.2.0 |
faker.image.urlPlaceholder | 48 | 8.0.0 |
faker.company.catchPhraseAdjective | 48 | 2.0.1 |
faker.finance.pin | 47 | 6.2.0 |
faker.word.verb | 47 | 6.0.0 |
faker.hacker.ingverb | 46 | 2.0.1 |
faker.company.catchPhraseNoun | 46 | 2.0.1 |
faker.finance.currencySymbol | 45 | 2.0.1 |
faker.database.collation | 45 | 4.0.0 |
faker.finance.currencyName | 45 | 2.0.1 |
faker.hacker.abbreviation | 45 | 2.0.1 |
faker.helpers.replaceCreditCardSymbols | 44 | 5.0.0 |
faker.word.preposition | 43 | 6.0.0 |
faker.database.type | 42 | 4.0.0 |
faker.database.engine | 40 | 4.0.0 |
faker.animal.dog | 38 | 5.5.0 |
faker.vehicle.vehicle | 38 | 5.0.0 |
faker.internet.port | 38 | 5.4.0 |
faker.location.nearbyGPSCoordinate | 37 | 8.0.0 |
faker.airline.flightNumber | 37 | 8.0.0 |
faker.system.fileType | 36 | 3.1.0 |
faker.word.interjection | 36 | 6.0.0 |
faker.internet.httpStatusCode | 36 | 7.0.0 |
faker.person.sex | 36 | 8.0.0 |
faker.git.commitEntry | 35 | 5.0.0 |
faker.helpers.objectValue | 35 | 6.3.0 |
faker.number.hex | 35 | 8.0.0 |
faker.person.jobDescriptor | 34 | 8.0.0 |
faker.word.conjunction | 34 | 6.0.0 |
faker.location.direction | 32 | 8.0.0 |
faker.location.cardinalDirection | 32 | 8.0.0 |
faker.science.chemicalElement | 32 | 7.2.0 |
faker.helpers.objectKey | 32 | 6.3.0 |
faker.internet.emoji | 31 | 6.2.0 |
faker.string.fromCharacters | 30 | 8.0.0 |
faker.internet.httpMethod | 30 | 5.4.0 |
faker.string.octal | 29 | 8.0.0 |
faker.animal.bird | 29 | 5.5.0 |
faker.string.binary | 29 | 8.0.0 |
faker.person.suffix | 29 | 8.0.0 |
faker.git.branch | 29 | 5.0.0 |
faker.location.ordinalDirection | 28 | 8.0.0 |
faker.git.commitMessage | 28 | 5.0.0 |
faker.number.binary | 26 | 8.0.0 |
faker.vehicle.model | 25 | 5.0.0 |
faker.person.middleName | 25 | 8.0.0 |
faker.system.networkInterface | 25 | 7.4.0 |
faker.vehicle.vin | 24 | 5.0.0 |
faker.system.cron | 23 | 7.5.0 |
faker.animal.type | 23 | 5.5.0 |
faker.helpers.rangeToNumber | 23 | 8.0.0 |
faker.vehicle.manufacturer | 22 | 5.0.0 |
faker.person.bio | 22 | 8.0.0 |
faker.helpers.weightedArrayElement | 22 | 8.0.0 |
faker.finance.routingNumber | 22 | 5.0.0 |
faker.animal.cetacean | 22 | 5.5.0 |
faker.finance.creditCardCVV | 22 | 5.0.0 |
faker.number.octal | 22 | 8.0.0 |
faker.vehicle.color | 21 | 5.0.0 |
faker.animal.snake | 21 | 5.5.0 |
faker.vehicle.type | 21 | 5.0.0 |
faker.company.buzzNoun | 21 | 8.0.0 |
faker.airline.recordLocator | 20 | 8.0.0 |
faker.person.gender | 20 | 8.0.0 |
faker.animal.fish | 20 | 5.5.0 |
faker.animal.cow | 20 | 5.5.0 |
faker.finance.transactionDescription | 20 | 5.1.0 |
faker.vehicle.fuel | 20 | 5.0.0 |
faker.person.jobType | 19 | 8.0.0 |
faker.animal.rabbit | 19 | 5.5.0 |
faker.image.avatarLegacy | 19 | 8.0.0 |
faker.person.jobArea | 19 | 8.0.0 |
faker.animal.insect | 19 | 5.5.0 |
faker.commerce.isbn | 19 | 8.1.0 |
faker.vehicle.vrm | 18 | 5.4.0 |
faker.animal.horse | 18 | 5.5.0 |
faker.animal.lion | 18 | 5.5.0 |
faker.finance.creditCardIssuer | 18 | 6.3.0 |
faker.company.buzzPhrase | 18 | 8.0.0 |
faker.animal.crocodilia | 17 | 5.5.0 |
faker.vehicle.bicycle | 17 | 5.5.0 |
faker.finance.litecoinAddress | 17 | 5.0.0 |
faker.location.secondaryAddress | 16 | 8.0.0 |
faker.phone.imei | 16 | 6.2.0 |
faker.airline.seat | 16 | 8.0.0 |
faker.person.prefix | 16 | 8.0.0 |
faker.string.symbol | 16 | 8.0.0 |
faker.location.county | 15 | 8.0.0 |
faker.location.timeZone | 15 | 8.0.0 |
faker.color.space | 14 | 7.0.0 |
faker.person.sexType | 13 | 8.0.0 |
faker.color.cssSupportedSpace | 13 | 7.0.0 |
faker.color.cssSupportedFunction | 13 | 7.0.0 |
faker.company.buzzVerb | 9 | 8.0.0 |
faker.location.buildingNumber | 9 | 8.0.0 |
faker.helpers.objectEntry | 9 | 8.0.0 |
faker.airline.airline | 9 | 8.0.0 |
faker.company.buzzAdjective | 9 | 8.0.0 |
faker.airline.airport | 9 | 8.0.0 |
faker.git.commitDate | 9 | 8.0.0 |
faker.airline.airplane | 8 | 8.0.0 |
faker.animal.rodent | 8 | 7.4.0 |
faker.person.zodiacSign | 6 | 8.0.0 |
faker.airline.aircraftType | 5 | 8.0.0 |
faker.food.vegetable | 4 | 9.0.0 |
faker.food.fruit | 4 | 9.0.0 |
faker.music.album | 3 | 9.0.0 |
faker.music.artist | 3 | 9.0.0 |
faker.food.dish | 3 | 9.0.0 |
faker.food.description | 2 | 9.0.0 |
faker.food.ingredient | 2 | 9.0.0 |
faker.food.spice | 2 | 9.0.0 |
faker.food.ethnicCategory | 2 | 9.0.0 |
faker.food.meat | 2 | 9.0.0 |
faker.food.adjective | 2 | 9.0.0 |
Total | 72045 | 2.0.1 |
All Modules
Sorted by Value
Module | Count | Since |
---|---|---|
lorem | 15935 | 2.0.1 |
internet | 12469 | 2.0.1 |
string | 7355 | 8.0.0 |
number | 5202 | 8.0.0 |
helpers | 4794 | 2.0.1 |
date | 4562 | 3.0.1 |
person | 3630 | 8.0.0 |
commerce | 3069 | 3.0.0 |
finance | 2439 | 2.0.1 |
image | 1843 | 2.0.1 |
datatype | 1740 | 5.5.0 |
location | 1463 | 8.0.0 |
word | 1442 | 6.0.0 |
company | 1419 | 2.0.1 |
system | 1182 | 3.1.0 |
color | 787 | 7.0.0 |
database | 692 | 4.0.0 |
hacker | 604 | 2.0.1 |
animal | 376 | 5.5.0 |
phone | 349 | 6.2.0 |
vehicle | 206 | 5.0.0 |
git | 160 | 5.0.0 |
music | 117 | 5.2.0 |
airline | 104 | 8.0.0 |
science | 83 | 7.2.0 |
food | 23 | 9.0.0 |
Total | 72045 | 2.0.1 |
Sorted by Name
Module | Count | Since |
---|---|---|
airline | 104 | 8.0.0 |
animal | 376 | 5.5.0 |
color | 787 | 7.0.0 |
commerce | 3069 | 3.0.0 |
company | 1419 | 2.0.1 |
database | 692 | 4.0.0 |
datatype | 1740 | 5.5.0 |
date | 4562 | 3.0.1 |
finance | 2439 | 2.0.1 |
food | 23 | 9.0.0 |
git | 160 | 5.0.0 |
hacker | 604 | 2.0.1 |
helpers | 4794 | 2.0.1 |
image | 1843 | 2.0.1 |
internet | 12469 | 2.0.1 |
location | 1463 | 8.0.0 |
lorem | 15935 | 2.0.1 |
music | 117 | 5.2.0 |
number | 5202 | 8.0.0 |
person | 3630 | 8.0.0 |
phone | 349 | 6.2.0 |
science | 83 | 7.2.0 |
string | 7355 | 8.0.0 |
system | 1182 | 3.1.0 |
vehicle | 206 | 5.0.0 |
word | 1442 | 6.0.0 |
Total | 72045 | 2.0.1 |
Airline Module
Sorted by Value
Method | Count | Since |
---|---|---|
flightNumber | 37 | 8.0.0 |
recordLocator | 20 | 8.0.0 |
seat | 16 | 8.0.0 |
airline | 9 | 8.0.0 |
airport | 9 | 8.0.0 |
airplane | 8 | 8.0.0 |
aircraftType | 5 | 8.0.0 |
Total | 104 | 8.0.0 |
Sorted by Name
Method | Count | Since |
---|---|---|
aircraftType | 5 | 8.0.0 |
airline | 9 | 8.0.0 |
airplane | 8 | 8.0.0 |
airport | 9 | 8.0.0 |
flightNumber | 37 | 8.0.0 |
recordLocator | 20 | 8.0.0 |
seat | 16 | 8.0.0 |
Total | 104 | 8.0.0 |
Animal Module
Sorted by Value
Method | Count | Since |
---|---|---|
cat | 56 | 5.5.0 |
bear | 48 | 5.5.0 |
dog | 38 | 5.5.0 |
bird | 29 | 5.5.0 |
type | 23 | 5.5.0 |
cetacean | 22 | 5.5.0 |
snake | 21 | 5.5.0 |
fish | 20 | 5.5.0 |
cow | 20 | 5.5.0 |
rabbit | 19 | 5.5.0 |
insect | 19 | 5.5.0 |
horse | 18 | 5.5.0 |
lion | 18 | 5.5.0 |
crocodilia | 17 | 5.5.0 |
rodent | 8 | 7.4.0 |
Total | 376 | 5.5.0 |
Sorted by Name
Method | Count | Since |
---|---|---|
bear | 48 | 5.5.0 |
bird | 29 | 5.5.0 |
cat | 56 | 5.5.0 |
cetacean | 22 | 5.5.0 |
cow | 20 | 5.5.0 |
crocodilia | 17 | 5.5.0 |
dog | 38 | 5.5.0 |
fish | 20 | 5.5.0 |
horse | 18 | 5.5.0 |
insect | 19 | 5.5.0 |
lion | 18 | 5.5.0 |
rabbit | 19 | 5.5.0 |
rodent | 8 | 7.4.0 |
snake | 21 | 5.5.0 |
type | 23 | 5.5.0 |
Total | 376 | 5.5.0 |
Color Module
Sorted by Value
Method | Count | Since |
---|---|---|
rgb | 218 | 7.0.0 |
hsl | 106 | 7.0.0 |
hwb | 75 | 7.0.0 |
colorByCSSColorSpace | 75 | 7.0.0 |
cmyk | 72 | 7.0.0 |
lab | 71 | 7.0.0 |
lch | 71 | 7.0.0 |
human | 59 | 7.0.0 |
space | 14 | 7.0.0 |
cssSupportedSpace | 13 | 7.0.0 |
cssSupportedFunction | 13 | 7.0.0 |
Total | 787 | 7.0.0 |
Sorted by Name
Method | Count | Since |
---|---|---|
cmyk | 72 | 7.0.0 |
colorByCSSColorSpace | 75 | 7.0.0 |
cssSupportedFunction | 13 | 7.0.0 |
cssSupportedSpace | 13 | 7.0.0 |
hsl | 106 | 7.0.0 |
human | 59 | 7.0.0 |
hwb | 75 | 7.0.0 |
lab | 71 | 7.0.0 |
lch | 71 | 7.0.0 |
rgb | 218 | 7.0.0 |
space | 14 | 7.0.0 |
Total | 787 | 7.0.0 |
Commerce Module
Sorted by Value
Method | Count | Since |
---|---|---|
product | 1330 | 3.0.0 |
productName | 564 | 3.0.0 |
price | 474 | 3.0.0 |
productAdjective | 215 | 3.0.0 |
productMaterial | 210 | 3.0.0 |
department | 153 | 3.0.0 |
productDescription | 104 | 5.0.0 |
isbn | 19 | 8.1.0 |
Total | 3069 | 3.0.0 |
Sorted by Name
Method | Count | Since |
---|---|---|
department | 153 | 3.0.0 |
isbn | 19 | 8.1.0 |
price | 474 | 3.0.0 |
product | 1330 | 3.0.0 |
productAdjective | 215 | 3.0.0 |
productDescription | 104 | 5.0.0 |
productMaterial | 210 | 3.0.0 |
productName | 564 | 3.0.0 |
Total | 3069 | 3.0.0 |
Company Module
Sorted by Value
Method | Count | Since |
---|---|---|
catchPhrase | 774 | 2.0.1 |
name | 428 | 7.4.0 |
catchPhraseDescriptor | 66 | 2.0.1 |
catchPhraseAdjective | 48 | 2.0.1 |
catchPhraseNoun | 46 | 2.0.1 |
buzzNoun | 21 | 8.0.0 |
buzzPhrase | 18 | 8.0.0 |
buzzVerb | 9 | 8.0.0 |
buzzAdjective | 9 | 8.0.0 |
Total | 1419 | 2.0.1 |
Sorted by Name
Method | Count | Since |
---|---|---|
buzzAdjective | 9 | 8.0.0 |
buzzNoun | 21 | 8.0.0 |
buzzPhrase | 18 | 8.0.0 |
buzzVerb | 9 | 8.0.0 |
catchPhrase | 774 | 2.0.1 |
catchPhraseAdjective | 48 | 2.0.1 |
catchPhraseDescriptor | 66 | 2.0.1 |
catchPhraseNoun | 46 | 2.0.1 |
name | 428 | 7.4.0 |
Total | 1419 | 2.0.1 |
Database Module
Sorted by Value
Method | Count | Since |
---|---|---|
column | 369 | 4.0.0 |
mongodbObjectId | 196 | 6.2.0 |
collation | 45 | 4.0.0 |
type | 42 | 4.0.0 |
engine | 40 | 4.0.0 |
Total | 692 | 4.0.0 |
Sorted by Name
Method | Count | Since |
---|---|---|
collation | 45 | 4.0.0 |
column | 369 | 4.0.0 |
engine | 40 | 4.0.0 |
mongodbObjectId | 196 | 6.2.0 |
type | 42 | 4.0.0 |
Total | 692 | 4.0.0 |
Datatype Module
Sorted by Value
Method | Count | Since |
---|---|---|
boolean | 1740 | 5.5.0 |
Total | 1740 | 5.5.0 |
Sorted by Name
Method | Count | Since |
---|---|---|
boolean | 1740 | 5.5.0 |
Total | 1740 | 5.5.0 |
Date Module
Sorted by Value
Method | Count | Since |
---|---|---|
past | 1700 | 8.0.0 |
recent | 1240 | 8.0.0 |
future | 428 | 8.0.0 |
between | 328 | 8.0.0 |
month | 201 | 3.0.1 |
weekday | 196 | 3.0.1 |
soon | 154 | 8.0.0 |
anytime | 154 | 8.0.0 |
birthdate | 96 | 7.0.0 |
betweens | 65 | 8.0.0 |
timeZone | 0 | 9.0.0 |
Total | 4562 | 3.0.1 |
Sorted by Name
Method | Count | Since |
---|---|---|
anytime | 154 | 8.0.0 |
between | 328 | 8.0.0 |
betweens | 65 | 8.0.0 |
birthdate | 96 | 7.0.0 |
future | 428 | 8.0.0 |
month | 201 | 3.0.1 |
past | 1700 | 8.0.0 |
recent | 1240 | 8.0.0 |
soon | 154 | 8.0.0 |
timeZone | 0 | 9.0.0 |
weekday | 196 | 3.0.1 |
Total | 4562 | 3.0.1 |
Finance Module
Sorted by Value
Method | Count | Since |
---|---|---|
ethereumAddress | 679 | 5.0.0 |
amount | 507 | 2.0.1 |
accountName | 192 | 2.0.1 |
currency | 192 | 8.0.0 |
creditCardNumber | 124 | 5.0.0 |
iban | 113 | 4.0.0 |
currencyCode | 97 | 2.0.1 |
accountNumber | 74 | 8.0.0 |
maskedNumber | 59 | 8.0.0 |
bitcoinAddress | 58 | 3.1.0 |
bic | 58 | 4.0.0 |
transactionType | 50 | 2.0.1 |
pin | 47 | 6.2.0 |
currencySymbol | 45 | 2.0.1 |
currencyName | 45 | 2.0.1 |
routingNumber | 22 | 5.0.0 |
creditCardCVV | 22 | 5.0.0 |
transactionDescription | 20 | 5.1.0 |
creditCardIssuer | 18 | 6.3.0 |
litecoinAddress | 17 | 5.0.0 |
Total | 2439 | 2.0.1 |
Sorted by Name
Method | Count | Since |
---|---|---|
accountName | 192 | 2.0.1 |
accountNumber | 74 | 8.0.0 |
amount | 507 | 2.0.1 |
bic | 58 | 4.0.0 |
bitcoinAddress | 58 | 3.1.0 |
creditCardCVV | 22 | 5.0.0 |
creditCardIssuer | 18 | 6.3.0 |
creditCardNumber | 124 | 5.0.0 |
currency | 192 | 8.0.0 |
currencyCode | 97 | 2.0.1 |
currencyName | 45 | 2.0.1 |
currencySymbol | 45 | 2.0.1 |
ethereumAddress | 679 | 5.0.0 |
iban | 113 | 4.0.0 |
litecoinAddress | 17 | 5.0.0 |
maskedNumber | 59 | 8.0.0 |
pin | 47 | 6.2.0 |
routingNumber | 22 | 5.0.0 |
transactionDescription | 20 | 5.1.0 |
transactionType | 50 | 2.0.1 |
Total | 2439 | 2.0.1 |
Food Module
Sorted by Value
Method | Count | Since |
---|---|---|
vegetable | 4 | 9.0.0 |
fruit | 4 | 9.0.0 |
dish | 3 | 9.0.0 |
description | 2 | 9.0.0 |
ingredient | 2 | 9.0.0 |
spice | 2 | 9.0.0 |
ethnicCategory | 2 | 9.0.0 |
meat | 2 | 9.0.0 |
adjective | 2 | 9.0.0 |
Total | 23 | 9.0.0 |
Sorted by Name
Method | Count | Since |
---|---|---|
adjective | 2 | 9.0.0 |
description | 2 | 9.0.0 |
dish | 3 | 9.0.0 |
ethnicCategory | 2 | 9.0.0 |
fruit | 4 | 9.0.0 |
ingredient | 2 | 9.0.0 |
meat | 2 | 9.0.0 |
spice | 2 | 9.0.0 |
vegetable | 4 | 9.0.0 |
Total | 23 | 9.0.0 |
Git Module
Sorted by Value
Method | Count | Since |
---|---|---|
commitSha | 59 | 5.0.0 |
commitEntry | 35 | 5.0.0 |
branch | 29 | 5.0.0 |
commitMessage | 28 | 5.0.0 |
commitDate | 9 | 8.0.0 |
Total | 160 | 5.0.0 |
Sorted by Name
Method | Count | Since |
---|---|---|
branch | 29 | 5.0.0 |
commitDate | 9 | 8.0.0 |
commitEntry | 35 | 5.0.0 |
commitMessage | 28 | 5.0.0 |
commitSha | 59 | 5.0.0 |
Total | 160 | 5.0.0 |
Hacker Module
Sorted by Value
Method | Count | Since |
---|---|---|
phrase | 199 | 2.0.1 |
noun | 176 | 2.0.1 |
verb | 72 | 2.0.1 |
adjective | 66 | 2.0.1 |
ingverb | 46 | 2.0.1 |
abbreviation | 45 | 2.0.1 |
Total | 604 | 2.0.1 |
Sorted by Name
Method | Count | Since |
---|---|---|
abbreviation | 45 | 2.0.1 |
adjective | 66 | 2.0.1 |
ingverb | 46 | 2.0.1 |
noun | 176 | 2.0.1 |
phrase | 199 | 2.0.1 |
verb | 72 | 2.0.1 |
Total | 604 | 2.0.1 |
Helpers Module
Sorted by Value
Method | Count | Since |
---|---|---|
arrayElement | 2929 | 6.3.0 |
fake | 319 | 7.4.0 |
slugify | 299 | 2.0.1 |
shuffle | 209 | 2.0.1 |
mustache | 195 | 2.0.1 |
arrayElements | 171 | 6.3.0 |
multiple | 127 | 8.0.0 |
fromRegExp | 86 | 8.0.0 |
enumValue | 80 | 8.0.0 |
uniqueArray | 79 | 6.0.0 |
replaceSymbols | 77 | 3.0.0 |
maybe | 58 | 6.3.0 |
replaceCreditCardSymbols | 44 | 5.0.0 |
objectValue | 35 | 6.3.0 |
objectKey | 32 | 6.3.0 |
rangeToNumber | 23 | 8.0.0 |
weightedArrayElement | 22 | 8.0.0 |
objectEntry | 9 | 8.0.0 |
Total | 4794 | 2.0.1 |
Sorted by Name
Method | Count | Since |
---|---|---|
arrayElement | 2929 | 6.3.0 |
arrayElements | 171 | 6.3.0 |
enumValue | 80 | 8.0.0 |
fake | 319 | 7.4.0 |
fromRegExp | 86 | 8.0.0 |
maybe | 58 | 6.3.0 |
multiple | 127 | 8.0.0 |
mustache | 195 | 2.0.1 |
objectEntry | 9 | 8.0.0 |
objectKey | 32 | 6.3.0 |
objectValue | 35 | 6.3.0 |
rangeToNumber | 23 | 8.0.0 |
replaceCreditCardSymbols | 44 | 5.0.0 |
replaceSymbols | 77 | 3.0.0 |
shuffle | 209 | 2.0.1 |
slugify | 299 | 2.0.1 |
uniqueArray | 79 | 6.0.0 |
weightedArrayElement | 22 | 8.0.0 |
Total | 4794 | 2.0.1 |
Image Module
Sorted by Value
Method | Count | Since |
---|---|---|
avatar | 747 | 2.0.1 |
url | 584 | 8.0.0 |
urlLoremFlickr | 284 | 8.0.0 |
avatarGitHub | 60 | 8.0.0 |
urlPicsumPhotos | 51 | 8.0.0 |
dataUri | 50 | 4.0.0 |
urlPlaceholder | 48 | 8.0.0 |
avatarLegacy | 19 | 8.0.0 |
Total | 1843 | 2.0.1 |
Sorted by Name
Method | Count | Since |
---|---|---|
avatar | 747 | 2.0.1 |
avatarGitHub | 60 | 8.0.0 |
avatarLegacy | 19 | 8.0.0 |
dataUri | 50 | 4.0.0 |
url | 584 | 8.0.0 |
urlLoremFlickr | 284 | 8.0.0 |
urlPicsumPhotos | 51 | 8.0.0 |
urlPlaceholder | 48 | 8.0.0 |
Total | 1843 | 2.0.1 |
Internet Module
Sorted by Value
Method | Count | Since |
---|---|---|
4366 | 2.0.1 | |
userName | 2225 | 2.0.1 |
password | 1680 | 2.0.1 |
url | 1284 | 2.1.5 |
domainName | 798 | 2.0.1 |
ip | 373 | 2.0.1 |
domainWord | 313 | 2.0.1 |
exampleEmail | 287 | 3.1.0 |
color | 214 | 2.0.1 |
domainSuffix | 190 | 2.0.1 |
protocol | 188 | 2.1.5 |
displayName | 111 | 8.0.0 |
ipv4 | 95 | 6.1.1 |
userAgent | 83 | 2.0.1 |
mac | 68 | 3.0.0 |
ipv6 | 59 | 4.0.0 |
port | 38 | 5.4.0 |
httpStatusCode | 36 | 7.0.0 |
emoji | 31 | 6.2.0 |
httpMethod | 30 | 5.4.0 |
username | 0 | 9.1.0 |
Total | 12469 | 2.0.1 |
Sorted by Name
Method | Count | Since |
---|---|---|
color | 214 | 2.0.1 |
displayName | 111 | 8.0.0 |
domainName | 798 | 2.0.1 |
domainSuffix | 190 | 2.0.1 |
domainWord | 313 | 2.0.1 |
4366 | 2.0.1 | |
emoji | 31 | 6.2.0 |
exampleEmail | 287 | 3.1.0 |
httpMethod | 30 | 5.4.0 |
httpStatusCode | 36 | 7.0.0 |
ip | 373 | 2.0.1 |
ipv4 | 95 | 6.1.1 |
ipv6 | 59 | 4.0.0 |
mac | 68 | 3.0.0 |
password | 1680 | 2.0.1 |
port | 38 | 5.4.0 |
protocol | 188 | 2.1.5 |
url | 1284 | 2.1.5 |
userAgent | 83 | 2.0.1 |
username | 0 | 9.1.0 |
userName | 2225 | 2.0.1 |
Total | 12469 | 2.0.1 |
Location Module
Sorted by Value
Method | Count | Since |
---|---|---|
city | 216 | 8.0.0 |
country | 202 | 8.0.0 |
street | 190 | 8.0.0 |
zipCode | 147 | 8.0.0 |
streetAddress | 140 | 8.0.0 |
latitude | 103 | 8.0.0 |
state | 96 | 8.0.0 |
countryCode | 94 | 8.0.0 |
longitude | 91 | 8.0.0 |
nearbyGPSCoordinate | 37 | 8.0.0 |
direction | 32 | 8.0.0 |
cardinalDirection | 32 | 8.0.0 |
ordinalDirection | 28 | 8.0.0 |
secondaryAddress | 16 | 8.0.0 |
county | 15 | 8.0.0 |
timeZone | 15 | 8.0.0 |
buildingNumber | 9 | 8.0.0 |
continent | 0 | 9.1.0 |
Total | 1463 | 8.0.0 |
Sorted by Name
Method | Count | Since |
---|---|---|
buildingNumber | 9 | 8.0.0 |
cardinalDirection | 32 | 8.0.0 |
city | 216 | 8.0.0 |
continent | 0 | 9.1.0 |
country | 202 | 8.0.0 |
countryCode | 94 | 8.0.0 |
county | 15 | 8.0.0 |
direction | 32 | 8.0.0 |
latitude | 103 | 8.0.0 |
longitude | 91 | 8.0.0 |
nearbyGPSCoordinate | 37 | 8.0.0 |
ordinalDirection | 28 | 8.0.0 |
secondaryAddress | 16 | 8.0.0 |
state | 96 | 8.0.0 |
street | 190 | 8.0.0 |
streetAddress | 140 | 8.0.0 |
timeZone | 15 | 8.0.0 |
zipCode | 147 | 8.0.0 |
Total | 1463 | 8.0.0 |
Lorem Module
Sorted by Value
Method | Count | Since |
---|---|---|
sentence | 4498 | 2.0.1 |
word | 4100 | 3.1.0 |
words | 2362 | 2.0.1 |
paragraph | 2350 | 2.0.1 |
sentences | 1164 | 2.0.1 |
paragraphs | 728 | 2.0.1 |
slug | 349 | 4.0.0 |
text | 206 | 3.1.0 |
lines | 178 | 3.1.0 |
Total | 15935 | 2.0.1 |
Sorted by Name
Method | Count | Since |
---|---|---|
lines | 178 | 3.1.0 |
paragraph | 2350 | 2.0.1 |
paragraphs | 728 | 2.0.1 |
sentence | 4498 | 2.0.1 |
sentences | 1164 | 2.0.1 |
slug | 349 | 4.0.0 |
text | 206 | 3.1.0 |
word | 4100 | 3.1.0 |
words | 2362 | 2.0.1 |
Total | 15935 | 2.0.1 |
Music Module
Sorted by Value
Method | Count | Since |
---|---|---|
songName | 63 | 7.1.0 |
genre | 48 | 5.2.0 |
album | 3 | 9.0.0 |
artist | 3 | 9.0.0 |
Total | 117 | 5.2.0 |
Sorted by Name
Method | Count | Since |
---|---|---|
album | 3 | 9.0.0 |
artist | 3 | 9.0.0 |
genre | 48 | 5.2.0 |
songName | 63 | 7.1.0 |
Total | 117 | 5.2.0 |
Number Module
Sorted by Value
Method | Count | Since |
---|---|---|
int | 4724 | 8.0.0 |
float | 333 | 8.0.0 |
bigInt | 62 | 8.0.0 |
hex | 35 | 8.0.0 |
binary | 26 | 8.0.0 |
octal | 22 | 8.0.0 |
Total | 5202 | 8.0.0 |
Sorted by Name
Method | Count | Since |
---|---|---|
bigInt | 62 | 8.0.0 |
binary | 26 | 8.0.0 |
float | 333 | 8.0.0 |
hex | 35 | 8.0.0 |
int | 4724 | 8.0.0 |
octal | 22 | 8.0.0 |
Total | 5202 | 8.0.0 |
Person Module
Sorted by Value
Method | Count | Since |
---|---|---|
firstName | 1764 | 8.0.0 |
lastName | 990 | 8.0.0 |
fullName | 569 | 8.0.0 |
jobTitle | 68 | 8.0.0 |
sex | 36 | 8.0.0 |
jobDescriptor | 34 | 8.0.0 |
suffix | 29 | 8.0.0 |
middleName | 25 | 8.0.0 |
bio | 22 | 8.0.0 |
gender | 20 | 8.0.0 |
jobType | 19 | 8.0.0 |
jobArea | 19 | 8.0.0 |
prefix | 16 | 8.0.0 |
sexType | 13 | 8.0.0 |
zodiacSign | 6 | 8.0.0 |
Total | 3630 | 8.0.0 |
Sorted by Name
Method | Count | Since |
---|---|---|
bio | 22 | 8.0.0 |
firstName | 1764 | 8.0.0 |
fullName | 569 | 8.0.0 |
gender | 20 | 8.0.0 |
jobArea | 19 | 8.0.0 |
jobDescriptor | 34 | 8.0.0 |
jobTitle | 68 | 8.0.0 |
jobType | 19 | 8.0.0 |
lastName | 990 | 8.0.0 |
middleName | 25 | 8.0.0 |
prefix | 16 | 8.0.0 |
sex | 36 | 8.0.0 |
sexType | 13 | 8.0.0 |
suffix | 29 | 8.0.0 |
zodiacSign | 6 | 8.0.0 |
Total | 3630 | 8.0.0 |
Phone Module
Sorted by Value
Method | Count | Since |
---|---|---|
number | 333 | 7.3.0 |
imei | 16 | 6.2.0 |
Total | 349 | 6.2.0 |
Sorted by Name
Method | Count | Since |
---|---|---|
imei | 16 | 6.2.0 |
number | 333 | 7.3.0 |
Total | 349 | 6.2.0 |
Science Module
Sorted by Value
Method | Count | Since |
---|---|---|
unit | 51 | 7.2.0 |
chemicalElement | 32 | 7.2.0 |
Total | 83 | 7.2.0 |
Sorted by Name
Method | Count | Since |
---|---|---|
chemicalElement | 32 | 7.2.0 |
unit | 51 | 7.2.0 |
Total | 83 | 7.2.0 |
String Module
Sorted by Value
Method | Count | Since |
---|---|---|
uuid | 3073 | 8.0.0 |
alpha | 1837 | 8.0.0 |
alphanumeric | 1227 | 8.0.0 |
sample | 391 | 8.0.0 |
numeric | 324 | 8.0.0 |
hexadecimal | 200 | 8.0.0 |
nanoid | 199 | 8.0.0 |
fromCharacters | 30 | 8.0.0 |
octal | 29 | 8.0.0 |
binary | 29 | 8.0.0 |
symbol | 16 | 8.0.0 |
ulid | 0 | 9.1.0 |
Total | 7355 | 8.0.0 |
Sorted by Name
Method | Count | Since |
---|---|---|
alpha | 1837 | 8.0.0 |
alphanumeric | 1227 | 8.0.0 |
binary | 29 | 8.0.0 |
fromCharacters | 30 | 8.0.0 |
hexadecimal | 200 | 8.0.0 |
nanoid | 199 | 8.0.0 |
numeric | 324 | 8.0.0 |
octal | 29 | 8.0.0 |
sample | 391 | 8.0.0 |
symbol | 16 | 8.0.0 |
ulid | 0 | 9.1.0 |
uuid | 3073 | 8.0.0 |
Total | 7355 | 8.0.0 |
System Module
Sorted by Value
Method | Count | Since |
---|---|---|
fileName | 411 | 3.1.0 |
semver | 114 | 3.1.0 |
commonFileName | 112 | 3.1.0 |
filePath | 110 | 3.1.0 |
directoryPath | 90 | 3.1.0 |
mimeType | 74 | 3.1.0 |
fileExt | 67 | 3.1.0 |
commonFileExt | 61 | 3.1.0 |
commonFileType | 59 | 3.1.0 |
fileType | 36 | 3.1.0 |
networkInterface | 25 | 7.4.0 |
cron | 23 | 7.5.0 |
Total | 1182 | 3.1.0 |
Sorted by Name
Method | Count | Since |
---|---|---|
commonFileExt | 61 | 3.1.0 |
commonFileName | 112 | 3.1.0 |
commonFileType | 59 | 3.1.0 |
cron | 23 | 7.5.0 |
directoryPath | 90 | 3.1.0 |
fileExt | 67 | 3.1.0 |
fileName | 411 | 3.1.0 |
filePath | 110 | 3.1.0 |
fileType | 36 | 3.1.0 |
mimeType | 74 | 3.1.0 |
networkInterface | 25 | 7.4.0 |
semver | 114 | 3.1.0 |
Total | 1182 | 3.1.0 |
Vehicle Module
Sorted by Value
Method | Count | Since |
---|---|---|
vehicle | 38 | 5.0.0 |
model | 25 | 5.0.0 |
vin | 24 | 5.0.0 |
manufacturer | 22 | 5.0.0 |
color | 21 | 5.0.0 |
type | 21 | 5.0.0 |
fuel | 20 | 5.0.0 |
vrm | 18 | 5.4.0 |
bicycle | 17 | 5.5.0 |
Total | 206 | 5.0.0 |
Sorted by Name
Method | Count | Since |
---|---|---|
bicycle | 17 | 5.5.0 |
color | 21 | 5.0.0 |
fuel | 20 | 5.0.0 |
manufacturer | 22 | 5.0.0 |
model | 25 | 5.0.0 |
type | 21 | 5.0.0 |
vehicle | 38 | 5.0.0 |
vin | 24 | 5.0.0 |
vrm | 18 | 5.4.0 |
Total | 206 | 5.0.0 |
Word Module
Sorted by Value
Method | Count | Since |
---|---|---|
sample | 524 | 8.0.0 |
noun | 283 | 6.0.0 |
adjective | 218 | 6.0.0 |
words | 204 | 8.0.0 |
adverb | 53 | 6.0.0 |
verb | 47 | 6.0.0 |
preposition | 43 | 6.0.0 |
interjection | 36 | 6.0.0 |
conjunction | 34 | 6.0.0 |
Total | 1442 | 6.0.0 |
Sorted by Name
Method | Count | Since |
---|---|---|
adjective | 218 | 6.0.0 |
adverb | 53 | 6.0.0 |
conjunction | 34 | 6.0.0 |
interjection | 36 | 6.0.0 |
noun | 283 | 6.0.0 |
preposition | 43 | 6.0.0 |
sample | 524 | 8.0.0 |
verb | 47 | 6.0.0 |
words | 204 | 8.0.0 |
Total | 1442 | 6.0.0 |
Beta Was this translation helpful? Give feedback.
-
I thought you might find this interesting. I used the SourceGraph Code Search API to estimate how many times each public Faker method is used, from the most popular to least
I wouldnt read too much into the raw data (Sourcegraph won't catch everything or private code, there are bound to be false positves, and the length of time a method has been around is a big factor - e.g. the faker.food.* methods are very new so have the least references).
However I think it could be a useful data point for some discussions. e.g.
Spreadsheet here:
https://docs.google.com/spreadsheets/d/1eW6MjGiyX0WEFcQCKrPFZmbKOPb4UeS1O8ZjY37rkLg/edit?gid=0#gid=0
Full data here:
Code used for searching this. You need a free Sourcegraph API token.
Beta Was this translation helpful? Give feedback.
All reactions