Question 1

How do I find an awesome list for a specific topic like machine learning?

Accepted Answer

Browse the 'General' section in the README and look for 'Machine Learning' or related subcategories like 'Data Science'. It links directly to external lists such as josephmisiti/awesome-machine-learning for detailed resources.

Question 2

Awesome Awesomeness vs sindresorhus/awesome: what's the difference?

Accepted Answer

Awesome Awesomeness is a meta-directory that organizes hundreds of other awesome lists (including sindresorhus/awesome), offering broader coverage. sindresorhus/awesome is a single, general-purpose list—use Awesome Awesomeness for niche topics and sindresorhus for a curated starter pack.

Question 3

Is Awesome Awesomeness updated regularly?

Accepted Answer

It's community-driven, so updates depend on contributors submitting pull requests. Check the GitHub repo's commit history for recent activity, but some lists may lag behind fast-moving technologies.

Question 4

How can I add my own awesome list to this directory?

Accepted Answer

The README doesn't specify contribution guidelines, but typically you'd fork the GitHub repository, add your list in the appropriate category, and submit a pull request for review.

Question 5

Are all linked resources free and open-source?

Accepted Answer

Not necessarily; while many lists focus on open-source, some include proprietary tools or paid courses. Always check the individual awesome list's description for licensing or cost details.

Question 6

What if I find a broken link in Awesome Awesomeness?

Accepted Answer

Report it via GitHub issues or directly fix it by submitting a PR. However, with no dedicated maintenance team, responses can be slow, and users might need to search for alternatives manually.

awesome-awesomeness

What is awesome-awesomeness?

Overview

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Frequently Asked Questions