cool-japan/scirs
🏗️ Frameworkcool-japan
High-performance scientific computing and AI library for Rust with SciPy-compatible APIs.
SciRS2 is designed to bridge the gap between high-level scientific computing and low-level system performance. It implements a comprehensive suite of tools for data science, including support for Fast Fourier Transforms (FFT), advanced linear algebra (linalg), and statistical modeling. By mirroring the API structure of SciPy, it significantly lowers the barrier to entry for developers transitioning from Python to Rust.
Beyond basic arithmetic, SciRS2 focuses on efficiency, utilizing Rust’s ownership model to ensure thread-safe parallel processing of large datasets. This makes it particularly effective for machine learning pipelines and neural network computations where memory overhead and execution speed are critical. The library is built to be modular, allowing users to integrate specific scientific modules into their existing Rust projects without the overhead of heavy external dependencies.
💡Highlights
- ├─SciPy-compatible Rust API
- ├─High-performance FFT & Linalg
- └─Memory-safe parallel computing
🎯For
- ├─Rust Developers
- └─Data Scientists