Online Oberon+ to SAS Converter
Click to select or drop your input code file here.
You can also type the input code below.
How to use this tool?
This free online converter lets you convert code from Oberon+ to SAS in a click of a button. To use this converter, take the following steps -
- Type or paste your Oberon+ code in the input box.
- Click the convert button.
- The resulting SAS code from the conversion will be displayed in the output box.
Key differences between Oberon+ and SAS
| Characteristic | Oberon+ | SAS |
|---|---|---|
| Syntax | Minimalistic, Pascal-like, clear and concise with a focus on readability and simplicity. | Proprietary, data-step and procedure-based, with a mix of declarative and procedural elements; less emphasis on general-purpose programming. |
| Paradigm | Procedural, modular, and object-oriented (with extensions); designed for structured programming. | Primarily procedural and declarative, focused on data manipulation, statistical analysis, and reporting. |
| Typing | Statically typed with strong type checking at compile time. | Dynamically typed; variable types are inferred and can change during execution. |
| Performance | Efficient and lightweight, designed for fast compilation and execution, suitable for system and application programming. | Optimized for large-scale data processing, but can be slower for general-purpose tasks; performance depends on the environment (Base SAS, SAS Grid, etc.). |
| Libraries and frameworks | Limited ecosystem; few libraries and frameworks, mostly focused on system programming and education. | Extensive built-in procedures and modules for statistics, data management, and analytics; large ecosystem for data science. |
| Community and support | Small, niche community; limited commercial support and resources. | Large, active user base; strong commercial support, extensive documentation, and training resources. |
| Learning curve | Gentle for those familiar with Pascal-like languages; simplicity aids learning, but limited resources may be a barrier. | Moderate to steep, especially for advanced analytics; easier for users with a data analysis background, but proprietary aspects can be challenging. |
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