faker
faker
faker | faker | |
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58 | 9 | |
11,783 | 17,117 | |
1.9% | - | |
9.7 | 9.5 | |
6 days ago | 3 days ago | |
TypeScript | Python | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
faker
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Easily create mock data for unit tests 🧪
Instead of manually having to think of defaults for your interface properties, you could use Faker.
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Leveling up your custom fake data with Faker.js
If you think you have something which other Faker users would find useful, you can contribute it to Faker! See the contributing guide, you can create an issue or a pull request.
- Front-End Prototyping - Mock JSON Data Provider
- Show HN: Buyidentities.com
- Show HN: Generate JSON mock data for testing/initial app development
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Web workers in ReactJs
First, we create a react project, and then we use a service faker to create 25000 user records.
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Component Testing with Cypress and Reactjs
Use faker.js to generate random values for your mock data.
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Sveltekit Twitter Clone starter made with Lucia Auth, Prisma and Faker.js
I built a starter project for developing a social media app with Sveltekit, Lucia Auth, Prisma and Faker.js. Uses sqlite for prototyping but can easily be changed to Postgres or MySQL.
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How do you get realistic data in your staging databases?
Don’t even need chatGPT or json files! There are libraries like faker that’ll do it on the fly for you!
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C++ Faker library
I am currently working with Typescript as well as C++ and I enjoyed using FakerJS library for testing data. I've checked for C++ libraries and I haven't found anything that could be used for my basic needs (like generating emails, passwords, names, uuids or lorem words) so I just started my own project with idea to deliver such library to C++ developers.
faker
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Leveling up your custom fake data with Faker.js
Faker was originally written in Perl and is also available as a library for Ruby, Java, and Python.
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The Uncreative Software Engineer's Compendium to Testing
Faker: a library that generates fake data that can be useful when you need data to test for various components.
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Exploring LLMs for Data Synthesizing & Anonymization: looking for Insights on Current & Future Solutions
Don't get me wrong, LLMs are awesome but totally unsuited for what you are describing. Classic data science tools like faker will be better for the task in pretty much every aspect. They can generate synthetic datasets and anonymize existing ones faster and far more reliable than any LLM.
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Undercover work
The Python package, Faker, is just what you're looking for!
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Is there a way to automate testing in python? In my case :
for datatypes like string/date and other stuff, there is a Python library called faker, which you can use. It can generate fake names, fake phone numbers, dates, and addresses. here is the link to the documentation. https://faker.readthedocs.io/ here is a link to a blog post explaining Faker. https://levelup.gitconnected.com/pythons-faker-library-your-go-to-solution-for-test-data-generation-3a070065cc04
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Testing files in Python like a pro
Then test cases became more complex. Primary data sources were often files. We needed to test pipelines. Faker still helped a lot, but it was not convenient to copy your last-best-approach for files and reinvent the wheel over and over with each project.
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Database automation challenges and how to solve them
For a cloud-based solution, one can write their own Terraform or CloudFormation for installation as soon as their RDS instance boots up with appropriate security and authentication details. For a local dev environment, one can rely on Faker to create mock database data for your database.
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How to create a 1M record table with a single query
Creating realistic fake data is useful in lower environments and for load testing. Outside of SQL I like faker: https://github.com/joke2k/faker
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DuckDB: an embedded DB for data wrangling
To test a database, first you need some data. So I created a python script and used Faker to create the following CSV files:
What are some alternatives?
falso - All the Fake Data for All Your Real Needs 🙂
Mimesis - Mimesis is a powerful Python library that empowers developers to generate massive amounts of synthetic data efficiently.
Faker.js - What really happened with Aaron Swartz?
FauxFactory - Generates random data for your tests.
yup-schema-faker - Fake data generator for yup
fake2db - create custom test databases that are populated with fake data
casual - Fake data generator for javascript
picka - pip install picka - Picka is a python based data generation and randomization module which aims to increase coverage by increasing the amount of tests you _dont_ have to write by hand.
plop - Consistency Made Simple
PyRestTest - Python Rest Testing
Prisma - Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
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