A simplified way to generate masive mock data based on a schema, you can use the awesome fake/random data generators like (FakerJs, ChanceJs, CasualJs and RandExpJs)
TypeScript
428
45
MIT License
Total donated
Undistributed
Share with your subscribers:
Recipients
How the donated funds are distributed
Support the dependencies of danibram/mocker-data-generator
TypeScript definitions for node
Chance - Utility library to generate anything random
Uploading report to Codecov: https://codecov.io
Generate massive amounts of fake contextual data
Publish to a gh-pages branch on GitHub (or any other branch on any other remote)
A simple zero-configuration command-line http server
the Istanbul command line interface
Create random strings that match a given regular expression.
TypeScript execution environment and REPL for node.js, with source map support
Runtime library for TypeScript helper functions
An extensible static analysis linter for the TypeScript language
A TSLint config for JavaScript Standard Style
Create api documentation for TypeScript projects.
TypeScript is a language for application scale JavaScript development
Fake data generator (Browserify friendly)
Make a new GitHub release from git metadata.
Neatly view the output of multiple spawned processes.
Support the repos that depend on danibram/mocker-data-generator
generate json database
Wrapper for mocker-data-generator providing a set of templates and arguments. Can optionally write to a file (node)
Nolang for javascript
Unit tests environment.
Top contributors
danibram
387 contributions
![greenkeeper[bot]'s profile](https://avatars.githubusercontent.com/greenkeeper[bot])
greenkeeper[bot]
39 contributions
auser
4 contributions
blestab
2 contributions
10xjs
2 contributions
CarlosBalladares
1 contributions
macsj200
1 contributions
MilosPaunovic
1 contributions
sobolevn
1 contributions
ST-DDT
1 contributions
Recent events
Kivach works on the Obyte network, and therefore you can track all donations.
No events yet