A curated collection of technical interview question lists across programming languages, frameworks, databases, and CS fundamentals.
Awesome Interviews is a curated GitHub repository that aggregates lists of technical interview questions and resources for software developers. It solves the problem of scattered preparation materials by providing a single, organized source covering programming languages, frameworks, databases, algorithms, and system design topics.
Software developers, engineers, and computer science students preparing for technical job interviews at various experience levels, from beginners to senior roles.
Developers choose this because it saves time by centralizing high-quality, community-vetted resources. Its breadth and structure make it superior to searching ad-hoc, and its open-source nature ensures it stays relevant through contributions.
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
The README lists over 50 categories, from programming languages like Java and Python to domains like algorithms and data science, providing a one-stop shop for diverse interview topics.
As an 'awesome list', it aggregates high-quality links contributed and maintained by the community, ensuring a curated selection of external articles, quizzes, and exercises.
It includes various resource types such as coding challenges, theoretical Q&A, and comprehensive guides, catering to different learning styles and interview stages.
The detailed table of contents organizes questions by technology (e.g., ReactJS, Docker) and computer science concepts, making it easy to navigate specific preparation areas.
The README explicitly states 'This project is no longer actively supported,' meaning updates are infrequent and users may encounter outdated or broken links.
Since it's a collection of external links, there's no guarantee of the accuracy, relevance, or maintenance of the individual resources, leading to potential misinformation.
The repository is static; it doesn't offer built-in coding environments, practice tests, or personalized feedback, unlike dedicated platforms like LeetCode or HackerRank.