Stratax

Stratax is a modern scientific computing library built around modern C++20 containers, shape metadata, and element-wise array operations. The core library is header-first, with Python bindings powered by pybind11.

The project is still young: vectors, matrices, tensors, shape/stride metadata, indexing, slicing, reshaping, conversions, creation helpers, printing, comparison, and arithmetic are active. Linear algebra, calculus, random, and statistics modules are currently reserved API areas.

Features

C++20 Vector, Matrix, and Tensor containers
Contiguous Buffer storage with shape and stride metadata
Bounds-checked at(...) and multidimensional operator(...) access
Negative indexing and reverse slicing in both the C++ and Python APIs
Element-wise arithmetic with NumPy-style broadcasting, plus comparison operators
Reshape, flatten, slicing, and container conversion helpers
Tensor creation helpers such as zeros, ones, full, and identity
Axis reductions with optional keepdims and negative-axis support in the Python API
Stream printing for vectors, matrices, tensors, shapes, and strides
Python bindings for Shape, Vector, Matrix, and Tensor
Python free functions for conversions and tensor creation helpers
Doxygen API documentation

Quick Start

C++

#include <stratax.h>
#include <iostream>

int main()
{
    stratax::Vector<double> a{1.0, 2.0, 3.0};
    stratax::Vector<double> b{4.0, 5.0, 6.0};

    auto c = a + b;

    std::cout << c << '\n'; // [5, 7, 9]
}

Python Package

from stratax import Vector

v = Vector([1.0, 2.0, 3.0, 4.0])

print(v[::-1].tolist())

# [4.0, 3.0, 2.0, 1.0]

Python bindings expose double-based Shape, Vector, Matrix, and Tensor types plus free-function conversions (to_vector, to_matrix, to_tensor) and creation helpers (zeros, ones, full, identity). The API supports negative indexes, slice steps (including reverse slices), and tolist() for quick inspection.

Axis reductions are available through Python reduction helpers (sum, prod, max, min, argmax, argmin, mean, var, std), including keepdims=True for shape-preserving reductions and negative-axis indexing (for example axis=-1 for the last dimension).

The C++ umbrella header also provides a flat public facade for common APIs, such as stratax::Vector, stratax::Shape, stratax::zeros, and stratax::sum, with grouped module aliases like stratax::reductions for specialized calls.

Installation

Python

pip install stratax

C++ Headers

Stratax is header-first for C++. Include the repository include/ directory in your build and include the umbrella header:

#include <stratax.h>

For a small CMake target, wire the include directory and C++ standard like this:

target_include_directories(my_app PRIVATE path/to/stratax/include)
target_compile_features(my_app PRIVATE cxx_std_20)

Build & Development

Requirements

C++20 compiler
CMake 3.20 or newer
Python 3.10 or newer for bindings
pybind11 2.12 or newer
scikit-build-core 0.10 or newer
pytest 8 or newer for Python tests
Doxygen 1.9 or newer for API docs

Build From Source

Configure and build with CMake:

cmake -S . -B build
cmake --build build

For editable Python installation, use pip from an environment with the build dependencies available:

python -m pip install -e .

Run Tests

The C++ tests live under tests/cpp/ and are registered with CTest through GoogleTest:

cmake -S . -B build
cmake --build build
ctest --test-dir build --output-on-failure

The Python tests live under tests/python/ and use pytest:

python -m pytest tests/python

Documentation

Repository Layout

include/stratax/ Public C++ headers
bindings/ pybind11 binding sources
python/stratax/ Python package
tests/cpp/ C++ tests
tests/python/ Python tests
examples/cpp/ C++ examples
examples/python/ Python examples
docs/ Documentation and API reference

Project Status

Stratax is still evolving. The current container, indexing, slicing, reshape, conversion, creation, printing, arithmetic, comparison, and reduction APIs are usable, but naming and edge-case behavior may still change before a stable 1.0 release. Linear algebra, calculus, random, statistics, and file I/O are reserved or planned areas.

API Status

Feature	C++	Python
`Shape`, `Vector`, `Matrix`, `Tensor`	Available	Available
Negative indexing	Available	Available
Slicing	Copy-based	Copy-based
Arithmetic and comparison	Available	Available
Bitwise operators	Available for integral containers	Not yet exposed
Creation helpers	Available	Available
Conversions	Available	Available
Reshape and flatten	Available	Available
Reductions	Available	Available, with `keepdims`
Broadcasting arithmetic	Available	Available through the core operators
Linear algebra	Planned	Planned

Implemented

Core storage and metadata: Buffer, Shape, Strides, Slice
Containers: Vector, Matrix, Tensor
Operations: broadcasted arithmetic, comparison, indexing, negative indexing, reshape, slicing
Container helpers: creation and conversions
I/O: stream printing
Python bindings and Python API: Shape, Vector, Matrix, Tensor, conversion free functions, creation free functions, negative indexing, reverse slicing

Roadmap

Python broadcasting regression tests
Logical operations
Linear algebra algorithms
Calculus helpers
Random sampling and distributions
Statistics routines
CSV and binary I/O

Contributing

Contributions, bug reports, and feature requests are welcome through GitHub Issues and Pull Requests. See Contributing for development notes and Releasing for release checklist guidance.

License

Stratax is licensed under the MIT License.

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stratax 0.3.1

Stratax

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Algorithm	Hash digest
SHA256	`3895db8e6d349257fce732a17980321199d460db976bad676f74bc2c89977669`
MD5	`6d77dc1c724b328c79c163be0e593f10`
BLAKE2b-256	`e7537188887571c3552bd5156def4859b09b4e5183df8510a519e28917df5b78`

Algorithm	Hash digest
SHA256	`38c2725ded4c36527f96b241e7797e50c72c554d7f57ee6e7192cbb3342e04c2`
MD5	`d29c3f1b202f7c6d96d5463af877b734`
BLAKE2b-256	`6284941e922ccd1079f513b62a43faf5f29ebefc5af5976a00f3095402c13515`

Algorithm	Hash digest
SHA256	`d30e770574ca28b9d908cc7c7ca5a0679ebb0fca8957e4754836c5b4d26bfe8f`
MD5	`6b70fbd8ed250de10710e41fe1a1427d`
BLAKE2b-256	`91baefd66e93ef7440a30362bb023b4f8017a3b0e4208ccfad2363d5bdc68e27`

Algorithm	Hash digest
SHA256	`84b7ceca4e8457827a229ae9656a26e30b911cc0b6a4382f055de3d9b13047d4`
MD5	`48e0dd14df93970a131b26a4747319d7`
BLAKE2b-256	`67dbe46d97304e938f58ae775334fdfbc1e3dd0b33a9336ad1f2bf7550cff145`

Algorithm	Hash digest
SHA256	`e2eb2a4b62e148b6fddb5072cee88efb02b6b3c60187a20253638c36cd1f32ac`
MD5	`a947e9747fd8210bdabe9231bbd27d28`
BLAKE2b-256	`c218cf9d822c6d010643910fb2fe0a484b1300fed992e57a48ff26e4d20ce08b`