OpenXL is a lightweight package designed to easily read Excel 2010 xlsx/xlsm/xltx/xltm files

Render Markdown text in your Genie apps

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Efficient RAG knowledge pack creator from online Julia documentation

LightweightCharts is a convenient Julia wrapper for the Lightweight Charts™ library by TradingView, Inc., designed to output graphical data to an HTML page

ProToPortal: The Portal to the Magic of PromptingTools and Julia-first LLM Coding

Julia wrappers for Steam Web API

GenAI observability application in Julia

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A Julia package for creating publication-ready summary tables in HTML, docx, LaTeX and Typst

A parser for TCX files

Tidier file reading and writing in Julia, modeled after the readr, haven, readxl, and writexl R packages.

A Julia package to create docx files for Microsoft Word from scratch

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FMIBase.jl provides the foundation for the Julia packages FMIImport.jl and FMIExport.jl.

Generate checklists and flow diagrams based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)

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An high-level interface for Zarr datasets

Serde is a Julia library for (de)serializing data to/from various formats. The library offers a simple and concise API for defining custom (de)serialization behavior for user-defined types

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Simulating Rydberg atom dynamics with Tensor Networks

Add TypedArray support for Genie/Stipple apps

Donwload dynamically generated files with Stipple apps

A Julia package for interactively visualizing and animating 3d cortical surface meshes, inspired by Connectome Workbench's wb_view

Support of mathjs and complex numbers in Stipple

Julia wrapper of GoAWS

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Revise-compatible hot-reloading middleware for web development in Julia

Hypertext templating DSL for Julia

Accessing the structure of the Vulkan API

A Julia package supplying abstractions and operations for efficiently working with parcels, or regions of interest, on a CorticalSurface

A Julia package encapsulating the surface-space representation of the cerebral cortex

A Julia package for reading CIFTI files for surface-space neuroimaging data

Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event

A high performance Julia adaptation of the code from "Generation and Evaluation of a Cortical Area Parcellation from Resting-State Correlations" (Gordon et al 2016)

Julia-side implementation of the Aiida plugin of DFTK

Minimal Julia client for Prefect REST API for analysts and data scientists.

Analyze the layout of manuscript pages edited according to the conventions of the Homer Multitext project

WiNDC Build Stream created in Julia