data-spring
casual
| data-spring | casual | |
|---|---|---|
| 3 | 4 | |
| 1 | 3,026 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | 11 months ago | |
| TypeScript | 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.
data-spring
- Data Spring – Generate Fake Time Series Datasets with Ease
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Show HN: Time-series-generator – generate time series for analytics
Very cool! As someone that has to generate a lot of fake time series datasets for prototyping dashboards excited to check it out.
Have currently been using my own, work in progress lib.
https://github.com/tylerben/data-spring
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Generating Fake Data for Dashboards and Data Visualizations
To solve this issue, I started developing Data Spring and the associated CLI.
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?
stator - Stator, your go-to template for the perfect stack. 😍🙏
Faker.js - What really happened with Aaron Swartz?
time-series-generator - Create time series for graphs and analytics. Works on nodejs and browser
typeorm-seeding - 🌱 A delightful way to seed test data into your database.
such - A powerful fake data library, expandable, configurable, generate data exactly as you want.
chance.js - Chance - Random generator helper for JavaScript
openapi-typescript-codegen - NodeJS library that generates Typescript or Javascript clients based on the OpenAPI specification
faker - Generate massive amounts of fake data in the browser and node.js
animal-avatar-generator - Animal avatar generator
plop - Consistency Made Simple
compodoc - :notebook_with_decorative_cover: The missing documentation tool for your Angular, Nest & Stencil application
faker.js - Generate massive amounts of fake data in the browser and node.js [Moved to: https://github.com/faker-js/faker]