Scientific Computing
Showing 36 of 450 projects
A Python library for parallel active learning of mathematical functions, intelligently sampling parameter spaces to minimize evaluations.
Deep Python bindings for Clojure enabling seamless interop, allowing Clojure to call Python libraries and vice versa.
A free, open-source Python simulator for spiking neural networks, designed for ease of use and flexibility.
An open-source suite of ab initio quantum chemistry programs for high-accuracy molecular simulations, written in C++ with a Python driver.
A lean and fast C++ library for 3D point cloud data processing with efficient implementations of common operations.
A high-performance Clojure library for matrix and linear algebra computations using optimized BLAS/LAPACK routines on CPU and GPU.
A Ruby library that enables direct calling of Python functions and modules with automatic type conversion.
A Jupyter notebook extension for interactive geospatial visualization and analysis.
An open-source workflow management system for bioinformatics that scales from one-off use cases to massive production environments.
An open-source, Python-based data analysis tool with specialized data types and methods for genomic data at scale.
A Ruby library for data analysis with DataFrame and Vector structures, offering storage, manipulation, and visualization.
Hardware-accelerated, batchable, and differentiable optimization algorithms implemented in JAX for machine learning research.
A Python library for building Generalized Additive Models (GAMs) with a scikit-learn-like API, emphasizing interpretability and performance.
A meta gem that bundles scientific computing and visualization libraries for Ruby, enabling data analysis and plotting.
A Python / Three.js bridge for creating interactive 3D visualizations in Jupyter notebooks.
A Python interface to Gmsh for creating complex geometries and generating meshes with useful abstractions.
A Scala library for type-safe quantities, units of measure, and dimensional analysis.
A Ruby kernel for Jupyter notebooks, enabling interactive data science and computational workflows in Ruby.
A JavaScript library for scientific and statistical computing, offering R-like statistical methods and linear algebra.
A platform for creating and publishing dynamic, data-driven documents with built-in code execution and collaboration.
A curated list of awesome cheminformatics software, libraries, resources, and tools, primarily command-line based and open-source.
A header-only C++ library for solving large sparse linear systems using algebraic multigrid (AMG) method with support for GPU acceleration.
A header-only C++ library for solving large-scale eigenvalue problems, built on top of Eigen.
A lightweight, header-only C++ tensor algebra framework delivering bare-metal performance for small matrix/tensor operations via compile-time optimizations.
Rust bindings for ArrayFire, a high-performance parallel computing library with support for CUDA, OpenCL, and CPU backends.
A Python framework for creating flexible and robust spike sorting pipelines in neuroscience electrophysiology.
A comprehensive statistical computation library for Rust, providing distributions, functions, and utilities for scientific computing.
An MVC web stack written in Fortran 90, enabling web development with Fortran's native array handling.
A high-performance GPU rendering library for scientific data visualization, built on Vulkan and up to 10,000x faster than matplotlib.
A comprehensive Python library offering over 1500 numerical integration schemes for 1D, 2D, and nD domains with support for complex, vector, and matrix-valued functions.
A Python library for creating ternary plots (triangular diagrams) using Matplotlib.
An open-source high-performance computing platform for systems analysis and multidisciplinary optimization, written in Python.
A JAX-powered library for solving large-scale optimal transport problems, including matching, barycenters, and neural approximations.
A Python library for reading, writing, and analyzing molecular dynamics trajectories with support for numerous file formats.
A Rust numeric library for linear algebra, numerical analysis, statistics, and machine learning with high performance and syntax inspired by R, MATLAB, and Python.
A C++ vector expression template library for OpenCL, CUDA, and OpenMP that simplifies GPGPU development.
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