Scientific Computing
Showing 36 of 313 projects
A comprehensive Go scientific library for numerical simulations, linear algebra, differential equations, and computational geometry.
A curated list of open-source software, data, and resources for geoscientists, hackers, and data wranglers.
A high-performance GPU-accelerated Fast Fourier Transform library supporting Vulkan, CUDA, HIP, OpenCL, Level Zero, and Metal backends.
A high-performance Python graph library implemented in Rust for general-purpose graph algorithms.
Python code and examples for Bayesian statistics from the book 'Think Bayes: Bayesian Statistics Made Simple'.
A Python cartographic library for easy map drawing and geospatial data visualization with Matplotlib integration.
A Python toolbox for simulating photovoltaic energy system performance with open, reliable, and benchmarked models.
A curated list of awesome software, libraries, and tools for numerical analysis and scientific computing.
A curated, categorized directory of Julia packages and resources for scientific computing and high-performance numerical analysis.
A curated, categorized directory of packages, libraries, and resources for the Julia programming language.
An iTerm2 backend for Matplotlib that renders plots directly in your terminal.
A Python library for 3D point cloud processing that leverages the scientific Python stack for complex operations with minimal code.
A lightweight library for building and training graph neural networks using JAX.
A lightweight library for building and training graph neural networks in JAX, providing graph data structures, utilities, and model implementations.
A library for rendering LaTeX math equations in native iOS and macOS applications using Core Text.
A Python interface for the igraph library, enabling fast creation, manipulation, and analysis of large graphs and networks.
A modern C++20 GPU numerical computing library with Python-like syntax for near-native performance on NVIDIA GPUs.
A differentiable, hardware-accelerated molecular dynamics simulation framework built on JAX for computational physics and materials science.
A curated list of awesome Python frameworks, libraries, software, and resources for chemistry and cheminformatics.
A collection of reusable scientific computing software components for solving large-scale, complex multi-physics engineering problems.
A fast C++ symbolic manipulation library with optional wrappers for Python, Julia, Ruby, Haskell, and other languages.
An open-source, plugin-based image processing framework in Python that integrates with numpy-based libraries like scikit-image and OpenCV.
A dedicated OCaml system for scientific and engineering computing, providing n-dimensional arrays, linear algebra, algorithmic differentiation, and neural networks.
An open-source chemical toolbox for converting, analyzing, and manipulating molecular data across 90+ file formats.
A Python framework for processing seismological data, providing parsers, data clients, and signal processing routines.
A deep learning framework for Julia inspired by Caffe, featuring modular architecture and multiple backends.
A web-based collaborative platform for research, teaching, and scientific publishing with Jupyter Notebooks, Sage Worksheets, LaTeX, and real-time collaboration.
A framework for building parallel, multi-disciplinary simulation software, focusing on modularity, extensibility, and high-performance computing.
A pure Rust numerical optimization library offering a wide range of algorithms with a consistent, type-agnostic interface.
A Python library that provides direct, Pythonic access to Praat's speech processing algorithms from within Python.
A modular library for creating and manipulating multidimensional array views over 1D storage in JavaScript.
A Python library with fast C implementations for computing Dynamic Time Warping and other time series distances.
Import C++ files directly from Python with automatic compilation and transparent recompilation.
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.
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