Displaying 1 to 10 from 10 results

mock-data - Mock data in PostgreSQL/Greenplum/HAWQ databases

  •    Go

Mock-data is the result of a Pivotal internal hackathon in July 2017. The original idea behind it is to allow users to test database queries with sets of fake data in any pre-defined table. With Mock-data users can have their own tables defined with any particular datatypes. It's only needed to provide the target table(s) and the number of rows of randomly generated data to insert.




cistern - Ruby API client framework

  •    Ruby

Cistern helps you consistently build your API clients and faciliates building mock support. This represents the remote service that you are wrapping. It defines the client's namespace and initialization parameters.

fe-dev-server - FE Dev Server target to help frontend web developers create view template, styles and js easily

  •    Javascript

FE Dev Server target to help frontend web developers create view template, styles and js easily. It try the best to simulate real server environment which can help you to make you job done. Also, it can be integrated into your own project as a node module.

ng-apimock - Node plugin that provides the ability to use scenario based api mocking: for local development for protractor testing

  •    TypeScript

The run function will process the mock data provided in the configuration and make it accessible for connect as middleware. The watch function will watch for changes in the mock directory and update accordingly.

webpack-api-mocker - webpack-api-mocker is a webpack-dev-server middleware that creates mocks for REST APIs

  •    Javascript

webpack-api-mocker is a webpack-dev-server middleware that creates mocks for REST APIs. It will be helpful when you try to test your application without the actual REST API server. 🔥 Built in support for hot Mocker file replacement. 🚀 Quickly and easily configure the API via JSON. 🌱 Mock API proxying made simple.


mock-data - Mock data in PostgreSQL/Greenplum/HAWQ databases

  •    Go

Mock-data is the result of a Pivotal internal hackathon in July 2017. The original idea behind it is to allow users to test database queries with sets of fake data in any pre-defined table. With Mock-data users can have their own tables defined with any particular datatypes. It's only needed to provide the target table(s) and the number of rows of randomly generated data to insert.