# NumRS2 Development Status
## Overview
This document outlines the development status and roadmap for NumRS2, a high-performance numerical computing library for Rust.
## Current Status (December 2025) - v0.1.1
**First Stable Release**: NumRS2 v0.1.1 is now available!
### Release Metrics
- **Version**: 0.1.1 (First stable release - December 30, 2025)
- **Total Code**: ~155,000 lines of production Rust code
- **Test Coverage**: 1,111+ unit tests passing
- **Quality**: Zero compilation warnings, zero clippy errors
- **SIMD Operations**: 128 vectorized functions (86 AVX2 + 42 NEON)
- **Dependencies**: SciRS2 v0.1.1, OxiBLAS v0.1.2 (stable releases)
### Core Features (Complete)
- ✅ N-dimensional array operations with NumPy compatibility
- ✅ Broadcasting and advanced indexing
- ✅ Expression templates for lazy evaluation
- ✅ SIMD optimization (AVX2, AVX512, ARM NEON)
- ✅ Linear algebra (SVD, QR, LU, Cholesky, Eigenvalue)
- ✅ Iterative solvers (CG, GMRES, BiCGSTAB)
- ✅ Sparse matrices (COO, CSR, CSC, DIA)
- ✅ Mathematical and statistical functions
- ✅ Special functions (gamma, beta, Bessel, etc.)
- ✅ Polynomial operations and cubic splines
- ✅ FFT and signal processing
- ✅ Numerical optimization (BFGS, Trust Region, etc.)
- ✅ Root-finding algorithms
- ✅ Automatic differentiation (forward & reverse mode)
- ✅ NumPy format (.npy, .npz) support
- ✅ Apache Arrow integration
- ✅ GPU acceleration (optional)
### SciRS2 Ecosystem Integration (Complete)
All modules integrated using SciRS2 v0.1.1:
- ✅ scirs2-core: SIMD, parallel, random, array operations
- ✅ scirs2-linalg: Linear algebra with OxiBLAS
- ✅ scirs2-stats: Statistical functions
- ✅ scirs2-fft: FFT operations
- ✅ scirs2-signal: Signal processing
- ✅ scirs2-special: Special functions
- ✅ scirs2-ndimage: N-dimensional image processing
- ✅ scirs2-spatial: Spatial algorithms and KD-trees
## Future Enhancements
### Short-term Goals (v0.1.x)
- [ ] Additional distribution functions
- [ ] Enhanced GPU acceleration
- [ ] More comprehensive benchmarks
- [ ] Extended Python bindings
- [ ] Performance optimizations based on user feedback
### Medium-term Goals (v0.2.x)
- [ ] Symbolic computation support
- [ ] Additional optimization algorithms
- [ ] Enhanced parallel computing capabilities
- [ ] More interoperability formats
### Long-term Goals (v0.3.x+)
- [ ] Deep learning primitives
- [ ] Distributed computing support
- [ ] Advanced visualization tools
- [ ] WebAssembly support
## Contributing
See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines on contributing to NumRS2.
## Documentation
- [Getting Started](GETTING_STARTED.md)
- [API Documentation](https://docs.rs/numrs2)
- [Examples](examples/)
- [SciRS2 Integration Policy](SCIRS2_INTEGRATION_POLICY.md)
- [Migration Guide](docs/MIGRATION_GUIDE.md)
- [Release Notes](RELEASE_NOTES.md)
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**NumRS2 v0.1.1** - Production-ready numerical computing for Rust 🚀