
GitHub City
CodersRank
GitHub Profile Roast 🔥🔥🔥
GitWrapped
Contributions for GitHub
GitPrime
Github Recap
Customize your profile with various plugins and metrics

codebeat
CodeRabbit
DeepSource
Explain Code App
Launch-readiness audits for AI-built apps.

Which is more popular?
Based on our record, GitHub Metrics seems to be more popular. It has been mentioned 9 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | github.com | axonbuild.com |
| Pricing | — | |
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What each product offers, as listed by its team.


Possible disadvantages
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing GitHub Metrics and AxonBuild.
AxonBuild's answer:
AxonBuild publishes its own data: 26 real audits of AI-built apps, with the failure rates and score distribution public. Every audit checks the same 12 launch-readiness areas, and every finding is confirmed against the actual code and pinned to a file and line, so there is nothing generic in the report.
AxonBuild's answer:
Most alternatives are automated scanners. Scanners are good at telling you a protection exists; they cannot tell you whether it holds. In 3 of 21 audits, scanners flagged 33 to 44 known CVEs, and none were reachable from the app. AxonBuild verifies what actually breaks, ranks it by consequence, and tells you what to ignore.
AxonBuild's answer:
Founders and small teams who built an app with AI tools like Lovable, Bolt, Cursor, or v0, and are about to take real users, real data, or real payments. Usually non-security people who need to know what would break before customers find it.
AxonBuild's answer:
AxonBuild started with auditing apps built with AI coding tools and finding the same failures over and over: policies that pass a publish check but do not hold, backups nobody ever restored, errors recorded nowhere. After 26 audits, zero had come out launch-ready, so the findings became a scored methodology and the data became public.
Share your experience with using GitHub Metrics and AxonBuild. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


This tutorial shows you how to create a fully automated GitHub profile README using GitHub Metrics with custom SVGs and GitHub Actions. - Source: dev.to / over 1 year ago
Metrics this will generate a detailed stats infographic based on your GitHub Profile. - Source: dev.to / about 2 years ago
Another GitHub profile using lowlighter/metrics with a slightly different setup. - Source: dev.to / about 3 years ago
Tracking AxonBuild since Jul 2026.
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