Projects
Brandon offers an extensive range of projects, including open-source code, datasets, website themes, informative pages, and hosted tools. All projects are free and licensed under GNU GPL 2, MIT, or Unlicense, providing users with maximum flexibility.
Brandon provides a diverse array of project offerings, encompassing an assortment of categories such as open-source code, meticulously curated datasets, customizable templates for websites and blog themes, other hosted design web pages, independent informative web pages, and a suite of hosted tools. It is imperative to note that all these projects are thoughtfully made available to the public without any charge, and they are released under licenses of utmost flexibility, including but not limited to the GNU GPL 2, the MIT License or the Unlicense, ensuring that users can exercise their rights and freedoms in a manner most suited to their needs and preferences.
Explore by Project Type
Browse my work by category to find open-source code, software projects, datasets, and design resources:
- Open Source Code: Libraries, frameworks, plugins, templates, and developer tooling.
- Open Source Software: Full software projects, languages, command-line tools, and systems.
- Open Datasets: Free, reusable datasets for research, analysis, and experimentation.
- Templates & Starters: Website templates, boilerplates, and starter projects.
- Themes & Design Assets: Website and blog themes, UI patterns, and visual resources.
Initiatives & Research Projects
This section highlights Brandon Himpfen’s independent initiatives focused on technology infrastructure, digital governance, artificial intelligence systems, and public-interest research. These projects explore ideas, frameworks, and systems designed to improve transparency, reliability, and trust in modern digital technologies.
AtlasInference
AtlasInference is an initiative focused on building reliable infrastructure for AI inference systems. The project explores evaluation frameworks, deployment patterns, and tooling designed to make machine learning systems measurable, observable, and predictable in production environments.

Awesome Learn
Awesome Learn is a collection of curated learning paths that organize tutorials, courses, books, and tools into structured guides for exploring complex topics. Designed to complement Awesome Lists, it helps learners move from beginner to more advanced knowledge in areas such as programming, artificial intelligence, cybersecurity, and emerging technologies.
Awesome Lists
Awesome Lists is a collection of curated resource lists that highlight high-quality tools, projects, and guides across technology, research, and travel. Each list focuses on a specific topic and helps people quickly discover useful resources without searching through scattered sources.

Awesome Travel
Awesome Travel is a curated collection of travel tools, platforms, guides, and resources designed to help travelers discover useful services and plan trips more effectively. The project highlights helpful resources for travelers, digital nomads, and solo travelers around the world.
CanadaAI
CanadaAI explores artificial intelligence development, infrastructure, and policy through a Canadian perspective. The initiative highlights research, innovation, and governance considerations shaping the future of AI in Canada.
AntiSpam Project
The AntiSpam Project studies spam, unsolicited communications, and abuse across digital platforms. The initiative examines how spam operates and how platforms can design systems that better prevent and manage it.

AntiFraud Lab
AntiFraud Lab is an initiative focused on fraud detection, prevention systems, and digital trust infrastructure. The project examines emerging fraud patterns and the technologies used to identify and mitigate them.






