fakeit
Fake data generator library with 130+ functions written in Rust (by PumpkinSeed)
faker_rand
Seedable, rand-compatible generators of fake data (lorem ipsum, names, emails, etc.) for Rust (by ucarion)
| fakeit | faker_rand | |
|---|---|---|
| 2 | 1 | |
| 148 | 6 | |
| - | - | |
| 5.1 | 4.1 | |
| 7 months ago | over 3 years ago | |
| Rust | Rust | |
| 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.
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.
fakeit
Posts with mentions or reviews of fakeit.
We have used some of these posts to build our list of alternatives
and similar projects.
faker_rand
Posts with mentions or reviews of faker_rand.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing fakeit and faker_rand you can also consider the following projects:
hello-world.rs - 🚀Memory safe, blazing fast, configurable, minimal hello world written in rust(🚀) in a few lines of code with few(1092🚀) dependencies🚀
Bogus - :card_index: A simple fake data generator for C#, F#, and VB.NET. Based on and ported from the famed faker.js.
Mimesis - Mimesis is a powerful Python library that empowers developers to generate massive amounts of synthetic data efficiently.