Spot Fake Star Campaigns Before You Depend on a Library
Check whether a trending open-source dependency looks naturally adopted or artificially inflated before it enters your stack.
GitHub star authenticity analyzer
Detect Fake GitHub Stars — Free & Instant
StarForensic is a GitHub star authenticity analyzer that samples 500 stargazer profiles across the full timeline to surface suspicious patterns. Used by developers, VCs, and recruiters to vet open-source projects before they bet on them. No sign-up, no credit card.
Use Cases
When this signal is worth checking
Vet Open-Source AI Tools the Way VCs Should
Use star quality signals as one more diligence layer when evaluating devtools, AI infrastructure, or fast-growing repos.
Embed a Trust Badge Directly in Your README
Free users get the signal. Detailed evidence and trust packaging can become the paid verification layer.
How It Works
Three steps from repo URL to signal score
Paste a GitHub repo URL
Enter any public repository using owner/repo or the full GitHub URL.
We sample 500 stargazers
Profiles are split into 10 time buckets across the full star history, so burst campaigns cannot hide in one narrow time window.
Get your signal score
See a simple verdict and free summary signals. Detailed evidence is reserved for the full report.
FAQ
Common questions before you analyze a repo
Is StarForensic free?
Yes. The signal score and three core summary signals are free for any public repository. No account needed.
Do I need to sign up or provide a GitHub token?
No. Just paste the repository name or GitHub URL and hit Analyze.
How many stargazers do you sample?
Up to 500, stratified across 10 time buckets spanning the full star history. This makes burst campaigns harder to hide.
How accurate is the score?
It is based on sampled signals, not a final verdict. A risky score means the repository deserves deeper investigation, not automatic disqualification.
What repositories can I analyze?
Any public GitHub repository. Private repositories are not supported.
How is this different from other fake star tools?
Most tools sample only recent or random stargazers. StarForensic uses stratified time-based sampling, so historical burst events are still represented in the analysis.
Ready To Check A Repo?
Run a signal check before you trust the stars.
Paste a public GitHub repository and get an instant risk signal based on stratified sampling across the full star timeline.