by Ablustrund · Agent Tool · ★ 180
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✨ MPLSandbox MPLSandbox is an out-of-the-box multi-programming language sandbox designed to provide unified and comprehensive feedback from compiler and analysis tools for LLMs. https://arxiv.org/abs/2410.23074 🔍 Introduction we propose MPLSandbox, an out-of-the-box sandbox designed to provide unified compiler feedback across multiple programming languages. Additionally, it integrates traditional code analysis tools, delivering comprehensive code information to LLMs from numerous perspectives. MPLSandbox simplifies code analysis for researchers, and can be seamlessly integrated into LLM training and application processes to enhance the performance of LLMs in a range of code-related tasks. MPLSandbox consists of three core modules: Multi-Programming Language Sandbox Environment This Module can provide unified compiler feedback by compiling and executing the code. The code and unit test samples are sent to the sub-sandbox of the corresponding programming language for isolated execution to obtain compiler feedback.
| Stars | 180 |
| Forks | 29 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 41.9/100 |
| Open Issues | 2 |
| Last Updated | 2025-04-15 |
| Created | 2024-10-29 |
| Platforms | python |
| Est. Tokens | ~1710k |
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MPLSandbox is MPLSandbox is an out-of-the-box multi-programming language sandbox designed to provide unified and comprehensive feedback from compiler and analysis tools for LLMs.. It is categorized as a Agent Tool with 180 GitHub stars.
MPLSandbox is primarily written in Python. It covers topics such as analysis-framework, llm, llm4code.
You can find installation instructions and usage details in the MPLSandbox GitHub repository at github.com/Ablustrund/MPLSandbox. The project has 180 stars and 29 forks, indicating an active community.
MPLSandbox is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to MPLSandbox on Agent Skills Hub include sandstorm, gptree, claudex. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.