How to use this tool?
This free online converter lets you convert code from SAS to Julia in a click of a button. To use this converter, take the following steps -
- Type or paste your SAS code in the input box.
- Click the convert button.
- The resulting Julia code from the conversion will be displayed in the output box.
Key differences between SAS and Julia
Characteristic | SAS | Julia |
---|---|---|
Syntax | SAS has a verbose syntax that can be difficult to read and write. | Julia has a concise and expressive syntax that is easy to read and write. |
Paradigm | SAS is primarily a procedural language with some support for object-oriented programming. | Julia is a multi-paradigm language that supports functional, procedural, and object-oriented programming. |
Typing | SAS is a statically typed language. | Julia is a dynamically typed language. |
Performance | SAS is optimized for data processing and has good performance for large datasets. | Julia is designed for high-performance computing and has excellent performance for scientific computing and numerical analysis. |
Libraries and frameworks | SAS has a large number of built-in libraries and frameworks for data analysis and statistical modeling. | Julia has a growing ecosystem of libraries and frameworks for scientific computing, machine learning, and data analysis. |
Community and support | SAS has a large and established community with extensive documentation and support resources. | Julia has a growing community with active development and support resources. |
Learning curve | SAS has a steep learning curve and can be difficult to learn for beginners. | Julia has a relatively gentle learning curve and is easy to learn for programmers with experience in other languages. |