Welcome to Wowchemy, the website builder for Hugo

Welcome 👋 We know that first impressions are important, so we’ve populated your new site with some initial content to help you get familiar with everything in no time.

Image credit: Unsplash
import libr
print('hello')

Overview

  1. The Wowchemy website builder for Hugo, along with its starter templates, is designed for professional creators, educators, and teams/organizations - although it can be used to create any kind of site
  2. The template can be modified and customised to suit your needs. It’s a good platform for anyone looking to take control of their data and online identity whilst having the convenience to start off with a no-code solution (write in Markdown and customize with YAML parameters) and having flexibility to later add even deeper personalization with HTML and CSS
  3. You can work with all your favourite tools and apps with hundreds of plugins and integrations to speed up your workflows, interact with your readers, and much more

The template is mobile first with a responsive design to ensure that your site looks stunning on every device.

Get Started

Crowd-funded open-source software

To help us develop this template and software sustainably under the MIT license, we ask all individuals and businesses that use it to help support its ongoing maintenance and development via sponsorship.

❤️ Click here to become a sponsor and help support Wowchemy’s future ❤️

As a token of appreciation for sponsoring, you can unlock these awesome rewards and extra features 🦄✨

Ecosystem

Inspiration

Check out the latest demo of what you’ll get in less than 10 minutes, or view the showcase of personal, project, and business sites.

Features

  • Page builder - Create anything with widgets and elements
  • Edit any type of content - Blog posts, publications, talks, slides, projects, and more!
  • Create content in Markdown, Jupyter, or RStudio
  • Plugin System - Fully customizable color and font themes
  • Display Code and Math - Code highlighting and LaTeX math supported
  • Integrations - Google Analytics, Disqus commenting, Maps, Contact Forms, and more!
  • Beautiful Site - Simple and refreshing one page design
  • Industry-Leading SEO - Help get your website found on search engines and social media
  • Media Galleries - Display your images and videos with captions in a customizable gallery
  • Mobile Friendly - Look amazing on every screen with a mobile friendly version of your site
  • Multi-language - 34+ language packs including English, 中文, and Português
  • Multi-user - Each author gets their own profile page
  • Privacy Pack - Assists with GDPR
  • Stand Out - Bring your site to life with animation, parallax backgrounds, and scroll effects
  • One-Click Deployment - No servers. No databases. Only files.

Themes

Wowchemy and its templates come with automatic day (light) and night (dark) mode built-in. Alternatively, visitors can choose their preferred mode - click the moon icon in the top right of the Demo to see it in action! Day/night mode can also be disabled by the site admin in params.toml.

Choose a stunning theme and font for your site. Themes are fully customizable.

License

Copyright 2016-present George Cushen.

Released under the MIT license.

Qifan Zhang
Qifan Zhang
Senior Staff Researcher

Dr. Qifan Zhang (张起帆) is now a Senior Staff Researcher of Palo Alto Networks. His research focuses on safeguarding critical internet infrastructure and addressing emerging threats in networked systems. His work centers on Network Security, with deep expertise in the Domain Name System (DNS)—the backbone of internet communication. By combining protocol analysis, fuzzing techniques, and formal methods, he designs automated tools to uncover high-risk vulnerabilities in DNS implementations and standards.

One of his flagship projects, ResolverFuzz, is a novel testing framework that exposed critical flaws in widely deployed DNS resolvers, including protocol-level security gaps (e.g., cache poisoning) and implementation errors (e.g., memory corruption). These discoveries have directly strengthened cybersecurity practices for the industry, open-source communities, and public infrastructure providers, earning recognition from organizations like CERT/CC and CVE.

Beyond DNS, he also explores the intersection of AI and Security, investigating risks in real-world machine learning deployments. My research, published in ACSAC 2022, demonstrated the first practical model extraction attacks against autonomous vehicle (AV) systems, using gradient-descent-based methods to reverse-engineer proprietary AI models. This work underscores the urgent need for robust defenses in safety-critical AI applications.

Prior to Palo Alto Networks, he earned his Ph.D. in Computer Engineering from University of California, Irvine advised by Prof. Zhou Li in 2025, and B.Eng. in Computer Science and Technology from ShanghaiTech University in 2020, complemented by a summer session at the University of California, Berkeley in 2017.

Pronunciation of his name: Chee-Fan Jang.
His Curriculum Vitae (last updated on March 14, 2025)