# matxscript **Repository Path**: ByteDance/matxscript ## Basic Information - **Project Name**: matxscript - **Description**: The model pre- and post-processing framework - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2022-11-05 - **Last Updated**: 2025-06-13 ## Categories & Tags **Categories**: scripting-language **Tags**: None ## README MatxScript =============================================================== [Documentation](https://bytedance.github.io/matxscript/) | [文档](https://bytedance.github.io/matxscript/zh-CN/index.html) | [Contributors](CONTRIBUTORS.md) | [Release Notes](NEWS.md) MatxScript is an ahead of time compiler for a subset of the Python language. Installation ------- ```bash pip install matxscript ``` A Quick Example ------- ```python import matx import timeit def fib(n: int) -> int: if n <= 1: return n else: return fib(n - 1) + fib(n - 2) if __name__ == '__main__': fib_script = matx.script(fib) # test on Macbook with m1 chip print(f'Python execution time: {timeit.timeit(lambda: fib(30), number=10)}s') # 1.59s print(f'Matx execution time: {timeit.timeit(lambda: fib_script(30), number=10)}s') # 0.03s ``` License ------- © Bytedance Inc. Licensed under an [Apache-2.0](LICENSE) license. Contribute to MatxScript ------------------------ Everyone is welcomed to contribute. We value all forms of contributions, including, but not limited to: - Code reviewing of the existing patches. - Documentation and usage examples - Community participation in issues. - Code readability and developer guide - We welcome contributions that add code comments to improve readability - We also welcome contributions to docs to explain the design choices of the internal. - Test cases to make the codebase more robust - Tutorials, blog posts, talks that promote the project. Acknowledgement --------------- We learned a lot from the following projects when building MatxScript. - [TVM](https://github.com/apache/tvm): Part of MatxScript's IR and Runtime originates from TVM. We also learned and adapted some part of codegen pipeline from TVM. - [Python](https://github.com/python/cpython/tree/3.8): Part of the runtime code comes from cpython for align the semantics - [Folly](https://github.com/facebook/folly): We adopted the idea of FBString to design our runtime::string_core - [abseil-cpp](https://github.com/abseil/abseil-cpp): The string_view structure and ByteHash algorithm originates from abseil - [rapidjson](https://github.com/Tencent/rapidjson): The json module is implemented based on rapidjson - [CV-CUDA](https://github.com/CVCUDA/CV-CUDA): The vision CUDA runtime is developed using the operators provided by CV-CUDA.