casual
datafaker
casual | datafaker | |
---|---|---|
4 | 16 | |
3,024 | 1,015 | |
- | 7.0% | |
0.0 | 9.4 | |
10 months ago | 7 days ago | |
JavaScript | Java | |
- | Apache License 2.0 |
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.
casual
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Show HN: UI Filler ā placeholders for your designs
Faker looks cool! We've been using Casual [0] for ages but Faker looks more featureful and more actively maintained.
0: https://github.com/boo1ean/casual
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How to Mock an API with random data from NodeJS
In order to create the mockserver we need 2 npm dependencies. json-server and casual so we run npm install json-server casual --save-dev in our project.
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š¦ Top alternatives for "colors" and "faker"
https://npm.im/casual (57k weekly downloads) https://github.com/boo1ean/casual (2.8k stars)
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Generating Fake Data for Dashboards and Data Visualizations
In the past, I have relied on Google Sheets and a combination of array formulas, vlookups, random value generators to create fake datasets. This approach worked for small, one off datasets. Any time I needed to generate more than 1000 records or needed to update a dataset, this approach proved to be tedious. I also explored Faker and Casual (both of which are fantastic tools) but found that the data they generate was too abstract and that the implementation wasn't ideal for large datasets. I wanted a tool that:
datafaker
- FLaNK AI Weekly for 29 April 2024
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Built a library to help generate test pojos with relevant but random data. Iād love some feedback.
Looks like that link doesn't actually go where it says, try this https://github.com/datafaker-net/datafaker
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The Icculus Microgrant is giving out 250 dollar grants to open source projects, please brag about your project(s) in this thread so I can see them!
Give it a try https://github.com/datafaker-net/datafaker
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datafaker VS holodb - a user suggested alternative
2 projects | 8 Jan 2023
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Instancio 2.2.0 released
Looks a lot like DataFaker Any pros and cons or differences compared to this?
- Datafaker: Generating fake data for the Java, Kotlin, Scala
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Java: Automating data setup in unit tests
Great library, and thanks for sharing. I maintain something add similar but different (https://www.datafaker.net), and it would be interesting to be able to use these libraries together for example.
- Show HN: UI Filler ā placeholders for your designs
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Seasoned java developer here. Planning to learn Kotlin. What are some good open source Kotlin projects I can contribute to?
For example, I run a project (https://www.datafaker.net), which is currently a Java application, but we'd like to extend it with a Kotlin module.
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Open source Java projects
I'm running a project myself, https://www.datafaker.net, a project to generate real looking test data.
What are some alternatives?
Faker.js - What really happened with Aaron Swartz?
Java Faker - Brings the popular ruby faker gem to Java
typeorm-seeding - š± A delightful way to seed test data into your database.
JSON-Schema Faker - JSON-Schema + fake data generators
chance.js - Chance - Random generator helper for JavaScript
instancio - A library that creates fully populated objects for your unit tests.
faker - Generate massive amounts of fake data in the browser and node.js
Apache Camel - Apache Camel is an open source integration framework that empowers you to quickly and easily integrate various systems consuming or producing data.
plop - Consistency Made Simple
Mockneat - MockNeat - the modern faker lib.
data-spring - Easily generate a dummy dataset based on a provided config
wp-plugin-leaflet-map - Add leaflet maps to Wordpress with shortcodes