## Table of Contents

JavaScript has become a powerful platform for scientific computation and machine learning, offering a range of tools and libraries that enable researchers to perform complex analyses, numerical computations, and machine learning tasks directly in the browser. In this article, we’ll explore a few JavaScript tools and libraries specifically tailored for scientific research in the domains of computation and machine learning.

## 1. Numeric and Scientific Computation #

JavaScript libraries for numeric and scientific computation provide essential functionalities for mathematical modeling, linear algebra, and statistical analysis.

*math.js*:- Comprehensive library for mathematical operations, including algebraic computations, trigonometry, statistics, and matrix operations.
- GitHub Repository: math.js

*Numeric.js*:- Library for numerical computing, linear algebra, interpolation, and optimization.
- GitHub Repository: Numeric.js
- Use this notebook to experiment: Notebook for Matrix Operations and Linear Algebra Using Numeric.js

*SciJS*:- Collection of scientific computing modules for JavaScript, covering topics like linear algebra, interpolation, optimization, and signal processing.
- GitHub Repository: SciJS

## 2. Machine Learning #

JavaScript frameworks and libraries empower researchers to build and deploy machine learning models directly in the browser, enabling browser-based AI applications and data-driven analyses.

*TensorFlow.js*:- Library for training and deploying machine learning models in JavaScript, supporting deep learning tasks and model inference.
- GitHub Repository: TensorFlow.js

*Brain.js*:- Flexible library for neural networks and machine learning in JavaScript, supporting various architectures and training algorithms.
- GitHub Repository: Brain.js
- Use this notebook to experiment: Notebook for ML Model Using Brain.js

*Synaptic.js*:- Library for building neural networks in JavaScript, providing tools for creating, training, and running neural networks.
- GitHub Repository: Synaptic.js

## 3. Statistical Analysis #

JavaScript tools for statistical analysis enable researchers to explore data distributions, perform hypothesis testing, and conduct advanced statistical computations.

*Simple Statistics*:- Library for statistical analysis, including measures of central tendency, variability, correlation, and regression analysis.
- GitHub Repository: Simple Statistics

*jStat*:- Library for statistical operations and distributions in JavaScript, featuring tools for probability calculations and statistical analysis.
- GitHub Repository: jStat

## 4. Physics and Simulation #

*Oimo.js*:- A JavaScript physics engine for 3D rigid body physics, supporting features like collision detection, gravity, and constraints.
- GitHub Repository: Oimo.js

*Planck.js*:- A 2D physics engine for JavaScript, providing capabilities for rigid body dynamics, collision detection, and joint constraints.
- GitHub Repository: Planck.js

##
5. *Engineering and Dynamic Analysis (FEA)* #

*Fluid.js*:- A JavaScript library for simulating fluid dynamics using smoothed particle hydrodynamics (SPH), suitable for visualizing fluid behavior in 2D.
- GitHub Repository: Fluid.js

*JSFEA*:- A JavaScript library for performing finite element analysis (FEA) and structural simulations in the browser, supporting linear and nonlinear analysis.
- GitHub Repository: JSFEA

##
6. *Mathematics and Computational Geometry* #

*CindyJS*:- A framework for interactive mathematics and geometry, allowing for dynamic construction and visualization of geometric shapes and mathematical objects.
- GitHub Repository: CindyJS

##
7. *Robotics and Control Systems* #

*JSRobotics*:- A JavaScript library for robotics applications, providing tools for kinematics, dynamics, motion planning, and control algorithms.
- GitHub Repository: JSRobotics

## 8. Additional Resources #

*THREE.js*:- While primarily a 3D graphics library, THREE.js can be utilized for physics-based simulations and visualizations, leveraging its rendering capabilities and integration with physics engines like Ammo.js.

*Plotly.js*:- Versatile library for creating interactive plots and charts, including scatter plots, line charts, histograms, and 3D visualizations.
- GitHub Repository: Plotly.js
- Use this notebook to experiment: Notebook for Plotly