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[Summary](#summary)\r\n    - [Official Julia](#official-Julia)\r\n    - [Awesome List](#awesome-list)\r\n    - [Community](#community)\r\n    - [Learning Resources](#learning-resources)\r\n  - [Data Structure and Algorithm](#data-structure-and-algorithm)\r\n  - [Package Manager](#package-manager)\r\n  - [FFI Bindings](#ffi-bindings)\r\n  - [GPU Computing](#gpu-computing)\r\n  - [Scientific Computation](#scientific-computation)\r\n    - [Numerical Calculation](#numerical-calculation)\r\n    - [Linear Algebra](#linear-algebra)\r\n    - [Optimization Engine](#optimization-engine)\r\n    - [Data Analysis and Visualization](#data-analysis-and-visualization)\r\n  - [Machine Learning](#machine-learning)\r\n    - [Machine Learning Framework](#machine-learning-framework)\r\n    - [Object Detection](#object-detection)\r\n  - [Image and Video Processing](#image-and-video-processing)\r\n  - [Web Framework](#web-framework)\r\n  - [Performance Benchmark](#performance-benchmark)\r\n  - [GUI](#gui)\r\n  - [Blogs](#blogs)\r\n\r\n\r\n\r\n## Summary\r\n\r\n  - ### Official Julia\r\n\r\n    - [Julia](https://github.com/JuliaLang/julia) \u003cimg src=\"https://img.shields.io/github/stars/JuliaLang/julia?style=social\"/\u003e : Julia is a high-level, high-performance dynamic language for technical computing. [ julialang.org/](https://julialang.org/).\r\n\r\n    - [Julia Documentation](https://docs.julialang.org/en/v1/) : Welcome to the documentation for Julia.\r\n\r\n\r\n  - ### Awesome List\r\n\r\n    - [greister/Awesome-Julia](https://github.com/greister/Awesome-Julia) \u003cimg src=\"https://img.shields.io/github/stars/greister/Awesome-Julia?style=social\"/\u003e : A curated list of awesome julia libraries, softwares and tutorials.\r\n\r\n    - [old-julia-codes/awesomeJulia](https://github.com/old-julia-codes/awesomeJulia) \u003cimg src=\"https://img.shields.io/github/stars/old-julia-codes/awesomeJulia?style=social\"/\u003e : awesome Julia.\r\n\r\n    - [widged/awesome-julia-datasciences](https://github.com/widged/awesome-julia-datasciences) \u003cimg src=\"https://img.shields.io/github/stars/widged/awesome-julia-datasciences?style=social\"/\u003e : Resources about Julia for DataSciences / Machine Learning.\r\n\r\n\r\n\r\n  - ### Community\r\n\r\n    - [JuliaCN](https://github.com/JuliaCN) : [Julia 中文社区](https://cn.julialang.org/)。社区驱动，致力于 Julia 编程语言中文支持的开源组织。\r\n\r\n\r\n  - ### Learning Resources\r\n\r\n    - [Julia Documentation](https://docs.julialang.org/en/v1/) : Welcome to the documentation for Julia.\r\n\r\n    - [JuliaCN/JuliaZH.jl](https://github.com/JuliaCN/JuliaZH.jl) \u003cimg src=\"https://img.shields.io/github/stars/JuliaCN/JuliaZH.jl?style=social\"/\u003e : Julia语言中文文档。[docs.juliacn.com](https://docs.juliacn.com/latest/)\r\n\r\n    - [JuliaCN/JuliaDataScience](https://github.com/JuliaCN/JuliaDataScience) \u003cimg src=\"https://img.shields.io/github/stars/JuliaCN/JuliaDataScience?style=social\"/\u003e : Julia Data Science 中文版。[cn.julialang.org/JuliaDataScience/](https://cn.julialang.org/JuliaDataScience/)\r\n\r\n\r\n\r\n\r\n## Data Structure and Algorithm\r\n\r\n  - [TheAlgorithms/Julia](https://github.com/TheAlgorithms/Julia) \u003cimg src=\"https://img.shields.io/github/stars/TheAlgorithms/Julia?style=social\"/\u003e : Algorithms implemented in Julia (for educational purposes).\r\n\r\n  - [mossr/BeautifulAlgorithms.jl](https://github.com/mossr/BeautifulAlgorithms.jl) \u003cimg src=\"https://img.shields.io/github/stars/mossr/BeautifulAlgorithms.jl?style=social\"/\u003e : Concise and beautiful algorithms written in Julia.\r\n\r\n\r\n\r\n## Package Manager\r\n\r\n  - [JuliaCN/Julia2Nix.jl](https://github.com/JuliaCN/Julia2Nix.jl) \u003cimg src=\"https://img.shields.io/github/stars/JuliaCN/Julia2Nix.jl?style=social\"/\u003e : The Nix interface to Julia Ecosystem [maintainer=@GTrunSec]. [cn.julialang.org/Julia2Nix.jl/](http://cn.julialang.org/Julia2Nix.jl/).\r\n\r\n\r\n\r\n\r\n\r\n## FFI Bindings\r\n\r\n  - [PyCall](https://github.com/JuliaPy/PyCall.jl) \u003cimg src=\"https://img.shields.io/github/stars/JuliaPy/PyCall.jl?style=social\"/\u003e : Calling Python functions from the Julia language.\r\n\r\n  - [jlrs](https://github.com/Taaitaaiger/jlrs) \u003cimg src=\"https://img.shields.io/github/stars/Taaitaaiger/jlrs?style=social\"/\u003e : Julia bindings for Rust.\r\n\r\n\r\n\r\n\r\n\r\n## GPU Computing\r\n\r\n  - [CUDA.jl](https://github.com/JuliaGPU/CUDA.jl) \u003cimg src=\"https://img.shields.io/github/stars/JuliaGPU/CUDA.jl?style=social\"/\u003e : CUDA programming in Julia. [juliagpu.org/](https://juliagpu.org/)\r\n\r\n  - [AMDGPU.jl](https://github.com/JuliaGPU/AMDGPU.jl) \u003cimg src=\"https://img.shields.io/github/stars/JuliaGPU/AMDGPU.jl?style=social\"/\u003e : AMD GPU (ROCm) programming in Julia.\r\n\r\n\r\n\r\n\r\n## Scientific Computation\r\n\r\n  - ### Numerical Calculation\r\n\r\n    - [DifferentialEquations.jl](https://github.com/SciML/DifferentialEquations.jl) \u003cimg src=\"https://img.shields.io/github/stars/SciML/DifferentialEquations.jl?style=social\"/\u003e : 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. [docs.sciml.ai/DiffEqDocs/stable/](https://github.com/SciML/DifferentialEquations.jl)\r\n\r\n    - [ModelingToolkit.jl](https://github.com/SciML/ModelingToolkit.jl) \u003cimg src=\"https://img.shields.io/github/stars/SciML/ModelingToolkit.jl?style=social\"/\u003e : 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 and automated transformations of differential equations. [mtk.sciml.ai/dev/](https://docs.sciml.ai/ModelingToolkit/dev/)\r\n\r\n\r\n\r\n\r\n\r\n  - ### Linear Algebra\r\n\r\n    - [GenericLinearAlgebra.jl](https://github.com/JuliaLinearAlgebra/GenericLinearAlgebra.jl) \u003cimg src=\"https://img.shields.io/github/stars/JuliaLinearAlgebra/GenericLinearAlgebra.jl?style=social\"/\u003e : Generic numerical linear algebra in Julia.\r\n\r\n    - [JuliaArrays/LazyArrays.jl](https://github.com/JuliaArrays/LazyArrays.jl) \u003cimg src=\"https://img.shields.io/github/stars/JuliaArrays/LazyArrays.jl?style=social\"/\u003e : Lazy arrays and linear algebra in Julia.\r\n\r\n\r\n\r\n\r\n\r\n  - ### Optimization Engine\r\n\r\n    - [JuMP](https://github.com/jump-dev/JuMP.jl) \u003cimg src=\"https://img.shields.io/github/stars/jump-dev/JuMP.jl?style=social\"/\u003e : Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear). [jump.dev/](https://jump.dev/)\r\n\r\n    - [EAGO](https://github.com/PSORLab/EAGO.jl) \u003cimg src=\"https://img.shields.io/github/stars/PSORLab/EAGO.jl?style=social\"/\u003e : EAGO: Easy-Advanced Global Optimization. EAGO is an open-source development environment for robust and global optimization in Julia.\r\n\r\n\r\n\r\n\r\n\r\n  - ### Data Analysis and Visualization\r\n\r\n    - [Makie.jl](https://github.com/MakieOrg/Makie.jl) \u003cimg src=\"https://img.shields.io/github/stars/MakieOrg/Makie.jl?style=social\"/\u003e : Visualizations and plotting in Julia. [docs.makie.org/stable](https://docs.makie.org/stable/)\r\n\r\n    - [Plots.jl](https://github.com/JuliaPlots/Plots.jl) \u003cimg src=\"https://img.shields.io/github/stars/JuliaPlots/Plots.jl?style=social\"/\u003e : Powerful convenience for Julia visualizations and data analysis. [docs.juliaplots.org](https://docs.juliaplots.org/stable/)\r\n\r\n    - [DataFrames.jl](https://github.com/JuliaData/DataFrames.jl) \u003cimg src=\"https://img.shields.io/github/stars/JuliaData/DataFrames.jl?style=social\"/\u003e : In-memory tabular data in Julia. [dataframes.juliadata.org/stable/](https://dataframes.juliadata.org/stable/)\r\n\r\n\r\n\r\n\r\n\r\n\r\n## Machine Learning\r\n\r\n  - ### Machine Learning Framework\r\n\r\n\r\n    - [Flux](https://github.com/FluxML/Flux.jl) \u003cimg src=\"https://img.shields.io/github/stars/FluxML/Flux.jl?style=social\"/\u003e : Relax! Flux is the ML library that doesn't make you tensor. [fluxml.ai/](https://fluxml.ai/)\r\n\r\n    - [MLJ](https://github.com/alan-turing-institute/MLJ.jl) \u003cimg src=\"https://img.shields.io/github/stars/alan-turing-institute/MLJ.jl?style=social\"/\u003e : A Machine Learning Framework for Julia. MLJ (Machine Learning in Julia) is a toolbox written in Julia providing a common interface and meta-algorithms for selecting, tuning, evaluating, composing and comparing about [200 machine learning models](https://alan-turing-institute.github.io/MLJ.jl/dev/model_browser/#Model-Browser) written in Julia and other languages.\r\n\r\n    - [ITensor](https://github.com/ITensor/ITensors.jl) \u003cimg src=\"https://img.shields.io/github/stars/ITensor/ITensors.jl?style=social\"/\u003e : A Julia library for efficient tensor computations and tensor network calculations. [itensor.org](https://itensor.org/)\r\n\r\n    - [TensorOperations.jl](https://github.com/Jutho/TensorOperations.jl) \u003cimg src=\"https://img.shields.io/github/stars/Jutho/TensorOperations.jl?style=social\"/\u003e : Julia package for tensor contractions and related operations. [jutho.github.io/TensorOperations.jl/stable/](about:blank)\r\n\r\n    - [TensorKit.jl](https://github.com/Jutho/TensorKit.jl) \u003cimg src=\"https://img.shields.io/github/stars/Jutho/TensorKit.jl?style=social\"/\u003e : A Julia package for large-scale tensor computations, with a hint of category theory.\r\n\r\n\r\n\r\n\r\n  - ### Object Detection\r\n\r\n    - [ObjectDetector.jl](https://github.com/r3tex/ObjectDetector.jl) \u003cimg src=\"https://img.shields.io/github/stars/r3tex/ObjectDetector.jl?style=social\"/\u003e : Pure Julia implementations of single-pass object detection neural networks.\r\n\r\n    - [AndreyGermanov/yolov8_onnx_julia](https://github.com/AndreyGermanov/yolov8_onnx_julia) \u003cimg src=\"https://img.shields.io/github/stars/AndreyGermanov/yolov8_onnx_julia?style=social\"/\u003e : YOLOv8 inference using Julia.\r\n\r\n    - [IanButterworth/YOLO.jl](https://github.com/IanButterworth/YOLO.jl) \u003cimg src=\"https://img.shields.io/github/stars/IanButterworth/YOLO.jl?style=social\"/\u003e : YOLO Object Detection in Julia.\r\n\r\n\r\n\r\n\r\n\r\n## Image and Video Processing\r\n\r\n  - [JuliaImages/Images.jl](https://github.com/JuliaImages/Images.jl) \u003cimg src=\"https://img.shields.io/github/stars/JuliaImages/Images.jl?style=social\"/\u003e : An image library for Julia. [juliaimages.org/](https://juliaimages.org/latest/)\r\n\r\n  - [JuliaImages/OpenCV.jl](https://github.com/JuliaImages/OpenCV.jl) \u003cimg src=\"https://img.shields.io/github/stars/JuliaImages/OpenCV.jl?style=social\"/\u003e : Use OpenCV in Julia!! 🚀. [juliaimages.org/OpenCV.jl/dev/](https://juliaimages.org/OpenCV.jl/dev/)\r\n\r\n\r\n\r\n## Web Framework\r\n\r\n  - [Genie.jl](https://github.com/GenieFramework/Genie.jl) \u003cimg src=\"https://img.shields.io/github/stars/GenieFramework/Genie.jl?style=social\"/\u003e : 🧞The highly productive Julia web framework. [genieframework.com](https://genieframework.com/)\r\n\r\n\r\n\r\n\r\n## Performance Benchmark\r\n\r\n  - [mdmaas/julia-numpy-fortran-test](https://github.com/mdmaas/julia-numpy-fortran-test) \u003cimg src=\"https://img.shields.io/github/stars/mdmaas/julia-numpy-fortran-test?style=social\"/\u003e : Comparing Julia vs Numpy vs Fortran for performance and code simplicity.\r\n\r\n\r\n\r\n\r\n## GUI\r\n\r\n  - [JuliaGizmos/Blink.jl](https://github.com/JuliaGizmos/Blink.jl) \u003cimg src=\"https://img.shields.io/github/stars/JuliaGizmos/Blink.jl?style=social\"/\u003e : Web-based GUIs for Julia.\r\n\r\n\r\n\r\n## Blogs\r\n\r\n  - [MatecDev](https://www.matecdev.com/)\r\n    - [2021-09-20，Testing Julia: Fast as Fortran, Versatile as Python](https://www.matecdev.com/posts/numpy-julia-fortran.html)\r\n    - [2022-01-17，Julia vs Numba and Cython: Looking Beyond Microbenchmarks](https://www.matecdev.com/posts/julia-python-numba-cython.html)\r\n    - [2023-06-02，Julia: 17X Faster than Python's Scipy, and Easier Too!](https://www.matecdev.com/posts/julia-17x-faster-vs-python-scipy.html)","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/coderonion%2Fawesome-julia-list/projects"}