colorette
casual
colorette | casual | |
---|---|---|
9 | 4 | |
1,583 | 3,024 | |
- | - | |
2.0 | 0.0 | |
about 1 month ago | 10 months ago | |
JavaScript | JavaScript | |
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.
colorette
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Comparison of Node.js libraries to colorize text in terminal
Here are the smallest libs: picocolors (2.6KB), kleur (2.7KB), ansis (3.2KB) and colorette (3.3KB), the rest are at least double larger.
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📦 Top alternatives for "colors" and "faker"
https://npm.im/colorette (16.9M weekly downloads) https://github.com/jorgebucaran/colorette (1.4k stars)
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A notable JavaScript developer shamelessly copied one of my most downloaded nod
https://github.com/jorgebucaran/colorette/issues/70
> why not drop your fork now that colorette has changed the API back?
Author continued to act impulsively. He rolled back API in patch release instead of major made breaking changes.
casual
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Show HN: UI Filler – 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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📦 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:
What are some alternatives?
typeorm-seeding - 🌱 A delightful way to seed test data into your database.
Faker.js - What really happened with Aaron Swartz?
nanocolors - Use picocolors instead. It is 3 times smaller and 50% faster.
stdlib - ✨ Standard library for JavaScript and Node.js. ✨
chance.js - Chance - Random generator helper for JavaScript
chalk - 🖍 Terminal string styling done right
faker - Generate massive amounts of fake data in the browser and node.js
Standard - 🌟 JavaScript Style Guide, with linter & automatic code fixer
plop - Consistency Made Simple
Babel (Formerly 6to5) - 🐠 Babel is a compiler for writing next generation JavaScript.
data-spring - Easily generate a dummy dataset based on a provided config