Editorial standards

Editorial Policy

GitHub Star exists to make open source discovery more useful than a popularity chart. Our pages should help readers understand what a project does, who it may help, how it compares with adjacent tools, and what questions to ask before adopting it.

Data collection

Repository facts are collected from the GitHub API. Star growth metrics are calculated from snapshots stored by GitHub Star. Because public repositories change quickly, every data-driven page includes or implies a refresh date and should be treated as a point-in-time view rather than a permanent assessment.

AI-assisted summaries

We may use AI tools to draft concise summaries or categorize repository metadata. AI assistance is used to speed up synthesis, not to invent facts. When a page includes practical claims, they should be grounded in repository metadata, documentation, release notes, or clearly identified editorial judgment.

What we avoid

• Copying project README files without adding analysis or context.
• Publishing thin pages that only restate a project name, star count, and link.
• Representing popularity as proof of security, code quality, or production readiness.
• Publishing sponsored claims without disclosure.

Corrections

Readers and maintainers can request corrections by emailing mstxhs@icloud.com. Useful correction requests include the affected URL, a short explanation, and a reliable source. We prioritize factual errors, broken links, outdated installation instructions, and misleading comparisons.

Advertising separation

Advertising does not determine which repositories are included or how they are ranked. During AdSense review, the site keeps advertising disabled so the review can focus on content, navigation, and user value.