A tool for easily extracting front matter out of a string. It is a fast Rust implementation of gray-matter. Parses YAML, JSON, TOML and support for custom parsers.
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Updated
Jul 11, 2025 - Rust
A tool for easily extracting front matter out of a string. It is a fast Rust implementation of gray-matter. Parses YAML, JSON, TOML and support for custom parsers.
Subject-wise networks from structural MRI, both vertex- and voxel-wise features (thickness, GM density, curvature, gyrification)
Typesafe front matter
Gray-matter Based Spatial Statistics
Like front-matter, but allows multiple sections in a single document.
Front matter parser that uses gray-matter and bits of real panther, so you know it's good. Kind of like consolidate.js engine, accept it's not an engine, it's a parser. Works with Assemble, express.js, parser-cache, or any application with similar conventions.
Brain Tissue Segmentation on IBSR18 Dataset
White and grey matter segmentation on T1-weighted exvivo mouse spinal cord
A blog publication app built with NextJs and sourced from GitHub. Now no need to use a CMS, writers can maintain their articles in a GitHub repository as Markdown files & the app will show all the blogs in a clean & modern UI with the lightning speed of NextJs.
A tool for processing markdown file blogs, supports uploading blog platforms and uploading pictures to image beds , The md files of hexo and docusaurus can be uploaded
A Next.js project containing an MDX starter blog kit, with tags and categories.
A fully static blog site built using Next JS , Tailwind and Markdown files as content of blog.
A blog website built using Next Js and Tailwind CSS, it reads the content from markdown.md files and renders it on the frontend.
✨ 2nd version of my portfolio website, built in React
chendap-blog
Nuxt-based Travis-deployed Github-hosted blog
A website to show the blogs written by Admin. It takes blog input in Markdown format and render it in HTML
Pediatric Spinal Cord Gray Matter Segmentation
static website built using Next JS and articles generated via markdown language
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