typeorm-seeding VS kleur

Compare typeorm-seeding vs kleur and see what are their differences.

kleur

The fastest Node.js library for formatting terminal text with ANSI colors~! (by lukeed)
Our great sponsors
  • SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
typeorm-seeding kleur
5 2
869 1,593
0.9% -
0.0 0.0
4 months ago 11 months ago
TypeScript JavaScript
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

typeorm-seeding

Posts with mentions or reviews of typeorm-seeding. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-16.

kleur

Posts with mentions or reviews of kleur. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-20.

What are some alternatives?

When comparing typeorm-seeding and kleur you can also consider the following projects:

casual - Fake data generator for javascript

chalk - 🖍 Terminal string styling done right

colorette - 🌈Easily set your terminal text color & styles

picocolors - The tiniest and the fastest library for terminal output formatting with ANSI colors

falso - All the Fake Data for All Your Real Needs 🙂

chance.js - Chance - Random generator helper for JavaScript

ansis - Small and fast Node.js lib to colorize terminal output. Lightweight but powerful alternative to Chalk. Supports Bun, Deno, Next.JS.

community-faker - Generate massive amounts of fake contextual data