Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…

Julia kernel for Jupyter

Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia

🧞The highly productive Julia web framework

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

Bayesian inference with probabilistic programming.

A Julia machine learning framework

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning a…

21st century AD

Compile your Julia Package

Forward Mode Automatic Differentiation for Julia

Please do not feed the models

Award winning software library for nonlinear dynamics and nonlinear timeseries analysis

⚡ Single-pass algorithms for statistics

Scientific reports/literate programming for Julia

Parallel analytical database in pure Julia

Fast and simple fluid simulator in Julia

Formatted output of timed sections in Julia

HTTP for Julia

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Generalized linear models in Julia

HDF5-compatible file format in pure Julia

Meta-package for data analysis in Julia, modeled after the R tidyverse.

Fast, continuous interpolation of discrete datasets in Julia

Julia package for function approximation

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

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

Metaprogramming tools for DataFrames

forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs