#Faker
Showing 22 of 22 repositories tagged #faker, ranked by stars
Faker is a Python package that generates fake data for you.
Generate massive amounts of fake data in the browser and node.js
orval is able to generate client with appropriate type-signatures (TypeScript) from any valid OpenAPI v3 or Swagger v2 specification, either in yaml or json formats. 🍺
Property based testing framework for JavaScript (like QuickCheck) written in TypeScript
Open Source Data Security Platform for Developers to Monitor and Detect PII, Anonymize Production Data and Sync it across environments.
Up-to-date simple useragent faker with real world database
Go (Golang) Fake Data Generator for Struct. [Notes]This repository is archived, moved to the new repository https://github.com/go-faker/faker
🧡 The meta framework for code generation. Automate OpenAPI to type-safe TypeScript, Zod, and TanStack Query with a modular, plugin-based engine.
Database anonymization and test data management
Faker is a pure Elixir library for generating fake data.
A tiny generator of random data for golang, also known as a faker
Go (Golang) Fake Data Generator for Struct, previously https://github.com/bxcodec/faker
An open source command line RatioMaster with an optional WebUI.
:rocket: Ultimate fake data generator for Go with zero dependencies
:pill: Fixtures loader for typeorm 🇺🇦
Port of a popular ruby faker gem written in kotlin. Generate realistically looking fake data such as names, addresses, banking details, and many more, that can be used for testing and data anonymization purposes.
伪造学习通的签到活动🙋学习通签到神器。支持滑动验证码签到、签退、人脸识别功能，支持自定义位置签到、动态二维码签到、自选照片进行拍照签到等全部签到形式以及给其他用户无限代签的功能 Falsifying the signing activity of Chaoxing, supporting slide captcha and signing out, and location-signing by custom position, selecting a picture from gallery for photo-signing and all types. Also supported signing for infinite accounts in only one device
Generate fake data using joke2k's faker and your own schema
Generating fake data in VS Code using Faker
a convenient way to anonymize your data for analytics
Text classification is a fundamental task in natural language processing (NLP), used widely for spam detection, sentiment analysis, and categorization of textual data. In this Python script, we delve into building a text classification pipeline using a Naive Bayes classifier with TF-IDF (Term Frequency-Inverse Document Frequency) features.
The Ultimate Algorithmic Mock Data Engine. Stop mocking with random strings — generate cryptographically valid test data. 390 types · 6 locales · Zero dependencies · CLI + REST API + JMeter Plugin