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Package detailsv0.0.1+1

chance_dart

Chance Dart is a free Open Source project that lets you create random strings, integers, and other things to help with tiresome tasks, especially when building automated tests or wherever else you require anything random.

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Install package

flutter pub add chance_dart

Package Overview

Package selection guidance compiled from public package information, community data, and project usage.

Chance Dart is an open-source utility package that generates random data such as strings, integers, names, emails, and more. It simplifies repetitive tasks, especially in automated testing, by providing a wide range of customizable random generators. Built for developers needing realistic mock data, it supports multiple platforms including Android, iOS, Web, macOS, Windows, and Linux. The package is lightweight, easy to integrate, and ideal for populating forms, APIs, or test scenarios with believable data.

Use cases

  • Generating mock user data
  • Populating test databases
  • Creating randomized input for UI testing
  • Simulating API responses
  • Automating test setup
  • Building sample datasets

Key features

  • Random string and number generation
  • Support for names, emails, addresses, and more
  • Customizable data patterns
  • Cross-platform compatibility
  • Simple API with intuitive methods
  • Open source and free to use

Suitable for

  • Test automation engineers
  • Frontend developers
  • Backend developers
  • QA testers
  • Prototyping applications
  • Data simulation

Considerations

  • Not suitable for cryptographic randomness
  • Limited to non-sensitive data generation
  • Requires understanding of basic randomization concepts
  • May need additional validation in production contexts
  • Best used in development and testing environments

Original README

Original README snapshot from the linked source repository. Visit the repository for the latest content.

Chance Dart

All Contributors

docs.page

Random generator helper for Dart

Homepage • Documentation

awesomeness style: very good analysis

Overview

Chance Dart is a free Open Source project that lets you create random strings, integers, and other things to help with tiresome tasks, especially when building automated tests or wherever else you require anything random.

Data generation is an important part of many projects especially projects that requires code generation and mocking of data.

Chance Dart is developed to deliver instant values to ensure speediness in development process and also reduce monotony.

Many more details on docs but this single library can generate random numbers, characters, strings, names, addresses, dice, and pretty much anything else.

It includes the basic building blocks for all these items and is built on top of a Mersenne Twister so it can generate these things with repeatability, if desired.

Usage

See the full docs for details on installation and usage.

Dependent tools

Know a library that uses Chance that isn't here? Update the README and submit a PR!

Author

Babalola Ayotomide(Czar)
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Please feel free to reach out to me if you have any questions or suggestions.

How to Contribute

To start making contributions please refer to Contribution Docs.

This project is licensed under the MIT License so feel free to hack away :)

Proudly written in Nigeria.

Code Style

i. Naming Convention:

Naming Convention Effective Style Example
Classes, enum types,typedefs,and type parameters,etensions PascalCase An example is ChanceField
Libraries, packages, directories, and source files, import prefixes snake_case An example is currency_list
Class members, top-level definitions, variables, parameters, and named parameters, constants camelCase An example is currencyList

ii. Style Rule

  • Always declare return types in your methods.
  • Put required named parameters first.
  • Always require non-null named parameters (@required).
  • Indent your code where appropriate (e.g Use two-space indentation.)

Contributors ✨

Thanks goes to these wonderful people (emoji key):

Mubaraq A. LAWAL
Mubaraq A. LAWAL

💻
Peter Nathaniel
Peter Nathaniel

💻
Ayotomide
Ayotomide

💻
Jamiu Okanlawon
Jamiu Okanlawon

💻
Yusuf Umar
Yusuf Umar

💻
Tamunorth
Tamunorth

💻
Caleb Jesusegun
Caleb Jesusegun

💻
Oluwatobi D Okanlawon
Oluwatobi D Okanlawon

💻
Mariam Hamzat
Mariam Hamzat

💻
Habeeb-marcus
Habeeb-marcus

💻
0xfc2f
0xfc2f

💻

This project follows the all-contributors specification. Contributions of any kind welcome!

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