A curated list of awesome resources for electronic engineers and hobbyists, covering software, tools, tutorials, and services.
Awesome Electronics is a curated GitHub repository that collects and organizes high-quality resources for electronic engineers and hobbyists. It solves the problem of information overload by providing a single, vetted list of essential tools, tutorials, software, and services needed for circuit design, simulation, PCB fabrication, and learning. The list covers everything from free EDA packages and simulators to part search engines and community forums.
Electronic engineers, hardware hobbyists, makers, students, and educators who need reliable, up-to-date resources for circuit design, prototyping, and learning. It's especially valuable for those new to electronics seeking guidance on tools and best practices.
Developers choose Awesome Electronics because it saves hours of searching by aggregating the most useful and reputable resources in one place. Its community-driven curation ensures quality and relevance, and its broad coverage makes it a versatile reference for both learning and professional work.
A curated list of awesome resources for Electronic Engineers and hobbyists
Lists over 20 categories from learning and simulators to PCB services and forums, ensuring resources for every stage of electronic design, as shown in the detailed Contents section.
Encourages contributions via GitHub and contributing.md, allowing the list to stay current with new tools and feedback from the electronics community.
Focuses on 'awesome' resources only, curating reputable sources like Khan Academy courses, LTspice for simulation, and OSH Park for PCBs, avoiding low-quality links.
Features an Arabic section with complete courses and a wide range of international content, making it accessible to non-English speakers and diverse audiences.
Lacks user ratings, reviews, or reliability scores for listed resources, forcing users to manually vet each link for suitability and current relevance.
Acts as a static list without interactive features like built-in search, filtering, or notifications, making it less dynamic than dedicated platforms.
Depends on community contributions for updates; broken or outdated links may persist if not actively maintained, as noted in the open collaboration model.
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome computer vision resources
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.