Standard ML of New Jersey vs Kotlin Native
Side-by-side comparison for macOS
Standard ML of New Jersey
6.0Compiler for the Standard ML '97 programming language
Kotlin Native
8.0LLVM backend for Kotlin
| Metric | Standard ML of New Jersey | Kotlin Native |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 6.0 | 8.0 |
| 30-day Installs | 68 | 18 |
| 90-day Installs | 183 | 56 |
| 365-day Installs | 1.3K | 347 |
| Version | 110.99.9 | 2.3.21 |
| Auto-updates | No | No |
| Deprecated | Yes | No |
| GitHub Stars | — | 52.4K |
| GitHub Forks | — | 6.2K |
| Open Issues | — | 221 |
| License | — | — |
| Language | — | Kotlin |
| Last GitHub Commit | — | 1mo ago |
| First Seen | Aug 9, 2023 | Aug 9, 2023 |
Reviews
Standard ML of New Jersey
Standard ML of New Jersey (SML/NJ) is a robust compiler for the Standard ML '97 programming language, offering developers a powerful tool for building efficient and reliable applications. It is particularly useful for those working with functional programming paradigms or requiring precise language specifications.
Compiles code written in the Standard ML '97 programming language.
Pros
- + Stable and mature compiler for Standard ML '97
- + Supports a niche but powerful functional programming language
- + Useful for developers requiring precise language specifications
Cons
- - No auto-update feature
- - Niche appeal may limit community support
Kotlin Native
Kotlin Native enables cross-platform development by compiling Kotlin to native binaries, offering seamless integration with existing systems and native performance. It's ideal for developers needing to deploy Kotlin applications in environments without a JVM.
Compiles Kotlin code into native binaries using LLVM.
Pros
- + Cross-platform development
- + Native performance
- + Strong community support
Cons
- - Beta features may be unstable
- - Limited ecosystem compared to JVM