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

Probabilistic programming via source rewriting

Julia support for native CUDA programming

Julia wrapper for the LLVM C API

A Julia wrapper for the CUDA driver API.

Fast, flexible, macro-based, Julia package for parsing command line arguments.

Julia-language port of the Sequencer algorithm, originally developed in python (https://github.com/dalya/Sequencer). The Sequencer finds trends in 1-dimensional data sets and has been used by its original authors for data analysis in astrophysics, seismology, image processing, etc. Contributions are welcome!

A Julia library that defines TimeFrame (essentially for resampling TimeSeries)

Collecting and maintaining crucial Julia package data, including Names, UUIDs, and download statistics, for enhanced accessibility, insight, and discoverability.

A Julia artificial neural network library which features high level abstraction as well as high performance.

Automatically mirror Julia package repositories

Julia package for descent elimination algorithms

Model of Saccharina latissima (sugar kelp) based on Broch and Slagstad, 2012

📦 Lempel-Ziv Complexity, fast implementation in Julia, Open-Source (MIT) 👍 →

Julia is a high-level, high-performance, dynamic programming language. While it is a general purpose language and can be used to write any application, many of its features are well-suited for high-performance numerical analysis and computational science.

The system exit codes as defined by <sysexits.h> for Julia

Julia wrapper for the OpenStreetMap Overpass API.

A siren's song to unwitting Pythonistas.. Also a semantic/functional clone of the homonymous library.

Julia is a high-level, high-performance, dynamic programming language. While it is a general purpose language and can be used to write any application, many of its features are well-suited for high-performance numerical analysis and computational science.