Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

Powerful convenience for Julia visualizations and data analysis

In-memory tabular data in Julia

Package to call Python functions from the Julia language

Automatically update function definitions in a running Julia session

A Julia package for probability distributions and associated functions.

Optimization functions for Julia

Forward Mode Automatic Differentiation for Julia

Macro(s) for vectorizing loops.

Statically sized arrays for Julia

Julia implementation of Data structures

Progress meter for long-running computations

HTTP for Julia

An experimental code analyzer for Julia. No need for additional type annotations.

Formatted output of timed sections in Julia

Basic statistics for Julia

Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

A benchmarking framework for the Julia language

Convert julia objects to LaTeX equations, arrays or other environments.

The slow descent into madness

I was gonna maintain this package, but then I got high

Fast, continuous interpolation of discrete datasets in Julia

HDF5-compatible file format in pure Julia

High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

Utility library for working with CSV and other delimited files in the Julia programming language

Statistical plotting recipes for Plots.jl

Black-box optimization for Julia

Types with default field values, keyword constructors and (un-)pack macros

A Julia package for evaluating distances (metrics) between vectors.

An optimized graphs package for the Julia programming language

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

High performance nearest neighbor data structures and algorithms for Julia.

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

Plotting for Julia based on GR, a framework for visualisation applications

Save and load data in the HDF5 file format from Julia

Print data in formatted tables.

A Julia package for data clustering

An abstraction layer for mathematical optimization solvers.

Special mathematical functions in Julia

A Julia package for Gaussian Processes