S

svg

🔧🔗https://github.com/badges/shields

Asciinema to SVG cli tool

🔧🔗https://github.com/marionebl/svg-term-cli Share terminal sessions via SVG and CSS

Asciicast-to-svg

🔧🔗https://github.com/derhuerst/asciicast-to-svg Render frames of Asciicasts as SVGs.

GitLab SVGs

🔧🔗gitlab.com/gitlab-org/gitlab-svgs

🔧🔗https://leipert-projects.gitlab.io/is-gitlab-pretty-yet/icons/

🔧🔗https://github.com/frangoteam/FUXA

Web-based Process Visualization (SCADA/HMI/Dashboard) software

🔧🔗https://github.com/SVG-Edit/svgedit

Powerful SVG-Editor for your browser

🔧🔗https://github.com/yoshi389111/github-profile-3d-contrib

This GitHub Action creates a GitHub contribution calendar on a 3D profile image.

🔧🔗https://github.com/stickerdaniel/svg-reverse

Reverse and animate svg paths with a single click

🔧🔗https://github.com/SVG-Edit/svg-edit-react

React based editor based on SVG-edit svgcanvas

🔧🔗https://github.com/riclolsen/OSHMI

SCADA HMI for substations and automation applications.

🔧🔗https://github.com/pipefunc/graphvizsvg A modern ESM module for interactive SVG visualization of Graphviz graph 🕸️🎨

🔧🔗https://github.com/noarche/img2-SVG

🔧🔗https://github.com/badges/svg-to-image-proxy

Web function to generate PNGs from SVGs

🔧🔗https://github.com/utensils/hexalith

Modern geometric logo generator in Rust - creates unique hexagonal designs with minimal configuration.

Noto Emoji fonts

🔧🔗https://github.com/IconJar/IJSVG

MacOS SVG rendering and exporting library

🔧🔗https://huggingface.co/jree423/svgdreamer

SVGDreamer: Text-Guided SVG Generation with Diffusion Model

SVGDreamer is an advanced text-to-SVG generation model that creates high-quality vector graphics

🔧🔗https://github.com/xamidi/interactive-svg-graphs Exemplary interactive SVG animations to illustrate labelled directed graphs.

🔧🔗https://github.com/ionic-team/ionicons

Premium hand-crafted icons built by Ionic, for Ionic apps and web apps everywhere 🌎

https://github.com/ximinng/SVGDreamer [CVPR 2024] Official implementation for "SVGDreamer: Text Guided SVG Generation with Diffusion Model" https://arxiv.org/abs/2312.16476