Most Useful JavaScript Libraries for Scientific Research

JavaScript is a versatile language for various usecases including scientific computation, AI, and machine learning. This article lists a few very useful libraries for scientific computation.

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:
  • 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