Webinar: Mocking vs. Mimicking Data

Join us April 15th at 10am PT / 1pm ET / 6pm BST to get an insiders’ look at Mockaroo and Tonic, two of the leading data generation platforms available today.

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Field Name







Unix (LF)

Mock your back-end API and start coding your UI today.

It's hard to put together a meaningful UI prototype without making real requests to an API. By making real requests, you'll uncover problems with application flow, timing, and API design early, improving the quality of both the user experience and API. With Mockaroo, you can design your own mock APIs, You control the URLs, responses, and error conditions. Paralellize UI and API development and start delivering better applications faster today!

Why is test data important?

If you're developing an application, you'll want to make sure you're testing it under conditions that closely simulate a production environment. In production, you'll have an army of users banging away at your app and filling your database with data, which puts stress on your code. If you're hand-entering data into a test environment one record at a time using the UI, you're never going to build up the volume and variety of data that your app will accumulate in a few days in production. Worse, the data you enter will be biased towards your own usage patterns and won't match real-world usage, leaving important bugs undiscovered.

Why is realistic data important?

When your test database is filled with realistic looking data, you'll be more engaged as a tester. When you demonstrate new features to others, they'll understand them faster. Real data is varied and will contain characters that may not play nice with your code, such as apostrophes, or unicode characters from other languages. Testing with realistic data will make your app more robust because you'll catch errors that are likely to occur in production before release day.

Why Mockaroo?

There are plenty of great data mocking libraries available for almost every language and platform. But not everyone is a programmer or has time to learn a new framework. Mockaroo allows you to quickly and easily to download large amounts of randomly generated test data based on your own specs which you can then load directly into your test environment using SQL or CSV formats. No programming is required.

Want to automate test data generation?

If you sign in using your Google account, you can download random data programmatically by saving your schemas and using curl to download data in a shell script via a RESTful url.

What's new in Mockaroo?

Added a download button to the preview dialog.
You can now use regular expressions to generate data in formulas. For example /d+{2}/.gen
Restored the ability to backup your schemas to files.
You can now limit credit card numbers by card type and country.
Massive UI Update! The UI has been overhauled to provide a faster, prettier experience.
The Gender datatype has been modernized and expanded. You can now choose from Gender, Gender (Binary), and Gender (Facebook). Existing schemas that use the old "Gender" type have been updated to use "Gender (Binary)" for backwards compatibility.
Added normal_dist(mean, std_dev, decimals) formula function.
You can now use multiple locations in each record
Added unix timestamp to Date formats and fixed bug where some latitude and longitude values were strings instead of numbers.
API usage is now displayed in My Account
Fixed a bug where lists with sequential output repeat a single value when the field is an array.
Fixed a bug where request_params are not accessible in formulas when called from the data generation and curl APIs
You can now use "\." to escape creating a nested field when generating JSON and "\__" to escape the notation to hide a field.
You can now delete multiple schemas, datasets, and mock APIs at once.