Boundary value problem (BVP) solvers for scientific machine learning (SciML)

SparseArrays.jl is a Julia stdlib

Fast summary statistics, histograms, and binning – ignoring NaNs

Logger output formats for Julia.

JSON parsing and printing

High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.

Least squares and curve fitting in Julia with speed and robustness

Collection of builder repositories for BinaryBuilder.jl

CUDA programming in Julia.

Automatically update function definitions in a running Julia session

The Base interface of the SciML ecosystem

Ultrafast dynamical diffraction calculator

Sliders to control matplotlib and other interactive goodies. Works in any interactive backend and even uses ipywidgets when in a Jupyter notebook

Project Preferences Package

Named dimensions and indexing for julia arrays and other data

Arithmetic with small and with very large rationals is made fast.

The Julia Language: A fresh approach to technical computing.

The Julia compiler frontend

AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any p…

Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications

Forward Mode Automatic Differentiation for Julia

Julia implementation of associative containers that preserve insertion order

Add Conda dependencies to your Julia project

Simple multithreading in julia

Python and Julia in harmony.

Julia bindings for NVTX, for instrumenting with the Nvidia Nsight Systems profiler

Array types that can use sentinel values of the element type for special values

Statically sized arrays for Julia

JupyterLab computational environment.

nbconvert as a web service: Render Jupyter Notebooks as static web pages