What is an awesome list?
Awesome lists are hand-curated link collections on GitHub, one per subject, that follow a shared convention. How they work, how to tell a maintained one from an abandoned one, and how to use them without getting lost.
Drafted with AI from official documentation. Scripts were run in a test environment and repository links verified. Awaiting a human check. Did it work for you? Last edited Outdated?
Search GitHub for almost any technical subject and you will find a repository called awesome-something: awesome-python, awesome-selfhosted, awesome-security, awesome-kubernetes. These are awesome lists: curated collections of links on one topic, kept in a README file and maintained like software, with issues, pull requests and reviewers. The convention started in 2014 when Sindre Sorhus created sindresorhus/awesome, an index of such lists, and wrote down guidelines for what a list should look like. That index now points to hundreds of lists and is one of the most starred repositories on GitHub.
What makes a list "awesome"
The guidelines matter more than the name. A list that follows them has a few recognisable properties:
- Curated, not collected. The maintainers include only things they consider genuinely good, and say no to pull requests that merely add more. A list that accepts everything is a search result, not a recommendation.
- One line per entry. Each link has a short description that tells you what it is before you click.
- Organised by section. Entries are grouped so you can find the area you care about without reading everything.
- Open to contribution. There is a contributing guide, and changes arrive through reviewed pull requests, so you can see who added what and why.
- No self-promotion as the main purpose. Good lists link to the thing itself, not to a blog post about it.
How to judge whether a list is maintained
Lists go stale because links rot and projects die. Before you rely on one, spend a minute on the repository page:
- Look at the date of the last commit. A list on an active subject that has not changed in two years is probably abandoned, however many stars it has.
- Open the pull requests tab. Many open, unreviewed pull requests from months ago mean nobody is at the wheel.
- Check whether the list has a contributing guide and whether rejected pull requests get a reason. That shows curation is happening.
- Click a handful of links in the section you need. If several are dead or point to archived projects, treat the whole list with suspicion.
- See whether the list is in the sindresorhus/awesome index. Inclusion requires a review against the guidelines, which filters out the worst.
How to use lists without getting lost
An awesome list is a map, and the mistake people make is trying to visit every place on it. Use it with a question in mind: “which tools exist for X?” or “where do people learn Y?”. Go to the matching section, read the descriptions, and shortlist two or three entries. Then leave the list and evaluate those projects on their own merits: licence, last release, open issues, documentation. Stars are a weak signal of quality and a strong signal of age, so do not sort by them. If you find yourself opening twenty tabs, close the list and come back when you have a narrower question.
Because a list is one Markdown file, the fastest way to search it is to clone it and grep for a keyword rather than scrolling:
git clone --depth 1 https://github.com/sbilly/awesome-security.git
grep -i honeypot awesome-security/README.md
In the security field, awesome-security is the broadest general list and a good first stop; the entry in this topic describes how it is organised. From there you will find more specialised lists for areas such as incident response, threat intelligence, malware analysis and specific platforms. Each of those is maintained by different people, so apply the checks above to every list separately.
Official documentation
Did this work for you?
No votes yet. Be the first.
If it did not work, the report form below tells the editors what went wrong.
See also
- 0431 What is a detection rule? Sigma explained for beginners A detection rule describes one kind of suspicious activity in logs. Sigma is the shared, tool-independent way to write such rules, so… Beginner · Explains an idea · Any system Article Alerting & dashboards · Security resources & detection 15 Oct 2026
- 0432 Try Sigma rules against your own logs Install the sigma-cli converter, take a rule from the public SigmaHQ library, convert it into a query for a log tool you… Intermediate · Step by step · Linux, macOS Article Logs · Security resources & detection 15 Oct 2026
- 0455 Which security tool does what? A map for beginners A beginner's map of open source security tool families: vulnerability scanners, secret detection, static analysis, host audits, web application testing, network inventory… Beginner · Explains an idea · Any system Article Security resources & detection · Server hardening 15 Oct 2026
Repos in the wild
- Sigma: the open detection-rule format for log data SigmaHQ/sigma The SigmaHQ repository holds the vendor-neutral Sigma rule specification and a community library of thousands of detection rules that converters translate into queries for Splunk, Elastic, Loki and other log tools. GitHub
- awesome-security: a curated map of security tools and learning resources sbilly/awesome-security A long-running awesome list that groups security software, reading material, courses, conferences and communities by area, from network and endpoint defence to threat intelligence and usable security. GitHub
- SecLists: wordlists for authorised security testing danielmiessler/SecLists A large, maintained collection of wordlists (usernames, passwords, URLs, fuzzing strings, patterns) used in penetration tests with permission and in defensive checks such as auditing your own password policy. GitHub
- PayloadsAllTheThings: a knowledge base organised by web vulnerability class swisskyrepo/PayloadsAllTheThings A community-maintained reference that gives each class of web and application weakness its own section with background, detection notes and remediation references, read by AppSec teams, defenders and authorised testers. GitHub
History
Every saved edit is kept. The plot on the sleeve draws one line per edit. Open any edit to see exactly what changed.
- Dominik +3,648 chars