An extensible framework for geospatial data science and geostatistical modeling fully written in Julia

Julia implementation of QuantEcon routines

Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.

Plotting for Julia based on matplotlib.pyplot

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

Climate Machine: an Earth System Model that automatically learns from data

Julia package for tensor contractions and related operations

Statistical plotting recipes for Plots.jl

Density-functional toolkit

Play atmospheric modelling like it's LEGO.

Combine ingredients for a plot

Julia library for plotting with plotly.js

Probabilistic programming via source rewriting

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

Iterative algorithms for solving linear systems, eigensystems, and singular value problems

Molecular simulation in Julia

Computational geometry in Julia

Binary Dependency Builder for Julia

Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.

"Distributions" that might not add to one.

Filter design, periodograms, window functions, and other digital signal processing functionality

Web-based GUIs for Julia

Time series toolkit for Julia

Geometric Deep Learning for Flux

Visualization of Julia profiling data

Probabilistic Programming with Gaussian processes in Julia

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

Surrogate modeling and optimization for scientific machine learning (SciML)

A fast trajectory optimization library written in Julia

Computer vision models for Flux

Modeling and simulation of multidomain engineering systems

🏔️Manopt. jl – Optimization on Manifolds in Julia

Provide insights about latency (TTFX) for Julia packages

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

A Julia package for Gaussian Processes

A differentiable physics engine for robotics

Data structures in Julia to enable power systems analysis. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

Polynomial manipulations in Julia