you can only save/load one structure at a time).

I've created this because I needed something like it and hadn't found it before.

Hit 'Load recipe' whenever you come back and your structure will be waiting for you. When you've created a table structure that you think you might want to keep while you play with the tool or even one to come back to on another day, just hit 'Save recipe'. You might have to wait a bit if you select a high enough number though. You can also generate as many rows as you wish by inserting the desired number on top-right input called 'Generated rows'. Return to the homepage and select 'Full Custom' or add columns by clicking 'Add another column', to represent your table schema. Select a table structure from the default list and hit 'Generate data' to see an example with 10 rows of fake data. Generating fixtures has never been easier. This is an attempt at making the problem smaller. Manually inserting 3 or 4 rows in each table just isn't good enough. Both of these situations benefit from having a large body of data that is semi-coherent (so you can kind of inspect it) but that is automatically generated. You might test it for correctness and you might test it for load. When developing an application, you would be wise to test it. Mimesis support over twenty different data providers available, which can produce data related to people, food, computer hardware, transportation, addresses, internet and more.Why do I need to fill a database with random data? Let's take a look how it works: > from mimesis import Person You can specify a locale when creating providers and they will return data that is appropriate for the language or country associated with that locale. Mimesis currently includes support for 34 different locales. More about the other providers you can read in our documentation. In the example below we import provider Person, which represents data related to personal information, such as name, surname, email and etc: > from mimesis import Person This library is really easy to use and everything you need is just import an object which represents a type of data you need (we call such object a Provider). You can improve it by sending pull requests to this repository. You can find the complete documentation on the Read the Docs. To install mimesis, simply use pip: ~ ⟩ pip install mimesis Mimesis 5.0.0 contains breaking changes, so make sure you've pinned a version of the package you use. The fake data could be used to populate a testing database, create fake API endpoints, create JSON and XML files of arbitrary structure, anonymize data taken from production and etc. Mimesis (/mɪˈmiːsɪs, Ancient Greek: μίμησις, mīmēsis) is a high-performance fake data generator for Python, which provides data for a variety of purposes in a variety of languages.

People data fake generator