MatrixCalc

Live demo — Try the app online

MatrixCalc is a lightweight, easy-to-use library/utility for performing matrix operations. It is designed to help students, engineers, and developers perform common linear algebra tasks quickly—e[...]

Table of contents

• Project overview
• Live demo
• Features
• Installation
• Contributing
• Acknowledgements
• Contact

Project overview

MatrixCalc provides a small but useful set of matrix operations with focus on clarity and reliability rather than trying to replace full linear algebra packages. Typical use cases:

• Classroom / teaching examples
• Small scripts or tools that need matrix math but don't want a heavy dependency
• Prototyping linear algebra operations

Features

• Create matrices from arrays, CSV, or simple text format
• Matrix arithmetic: add, subtract, multiply (matrix × matrix and scalar multiplication)
• Element-wise operations (map, apply)
• Transpose and basic shape checks
• Determinant and inverse (for square matrices)
• Row-reduction / reduced row-echelon form (RREF)
• Solve linear systems (Ax = b) using appropriate methods
• Basic decompositions (if implemented in library version: LU, QR)
• Input/output helpers (read/write CSV and plain text)
• Lightweight CLI to perform fast operations from terminal

Installation

(Adjust these instructions to match how the project is packaged. Below are common patterns.)

Option A — From source

1. Clone the repository:

git clone https://github.com/Anushka-Gupte/MatrixCalc.git
cd MatrixCalc

2. Install dependencies (node example):

npm install
# or
yarn install

3. Build (if there is a build step):

npm run build

Option B — Global CLI (if published or local link)

npm install -g .
# or to use local dev install
npm link

Contributing

Contributions are welcome. Typical workflows:

• Open an issue to discuss a feature or bug before implementing large changes.
• Submit small, focused pull requests with tests and clear descriptions.
• Maintain backward compatibility where reasonable; state breaking changes in PR descriptions.

Please follow the repository's CODE_OF_CONDUCT and CONTRIBUTING guidelines (if present).

Roadmap

Planned/improvement ideas (you may want to update these as your project progresses):

• Add more decompositions (SVD, eigenvalues) if numerical backend is introduced
• Improve CSV/IO options (custom delimiters, comments, headers)
• Add optional multi-threaded/back-end acceleration
• Publish to package registries (npm/PyPI/Rust crates) for easier installation
• Add more examples and notebooks for teaching

Acknowledgements

• Inspiration from classic linear algebra texts and lightweight matrix libraries
• Thanks to contributors and issue reporters

Contact

• Repository: https://github.com/Anushka-Gupte/MatrixCalc
• Issues: https://github.com/Anushka-Gupte/MatrixCalc/issues
• Author / Maintainer: Anushka-Gupte
• Live app: https://matrixcalc-f9wwxlnirdenykch8gyrxk.streamlit.app/