Standard ML of New Jersey vs Julia

Side-by-side comparison for macOS

Standard ML of New Jersey

6.0

Developer Tools

Compiler for the Standard ML '97 programming language

Julia

8.0

Developer Tools

Programming language for technical computing

Metric	Standard ML of New Jersey	Julia
Category	Developer Tools	Developer Tools
AI Score	6.0	8.0
30-day Installs	68	88
90-day Installs	183	215
365-day Installs	1.3K	1.1K
Version	110.99.9	1.12.6
Auto-updates	No	No
Deprecated	Yes	No
GitHub Stars	—	48.6K
GitHub Forks	—	5.8K
Open Issues	—	4.7K
License	—	MIT
Language	—	Julia
Last GitHub Commit	—	1mo ago
First Seen	Aug 9, 2023	Jun 23, 2013

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

Julia

Julia is a high-performance programming language designed for technical computing, data science, and machine learning. It offers a unique blend of high-level language features and speed, making it ideal for researchers and developers who need both productivity and performance.

Julia provides a programming environment for technical computing, data analysis, and machine learning.

Pros

+ High performance for numerical and technical computing
+ High-level, user-friendly syntax
+ Strong community and ecosystem for data science and machine learning

Cons

- No auto-update feature
- Some syntax changes may cause breaking issues

View Standard ML of New Jersey details → View Julia details →