sherlock-project/sherlock
First read
Visible and active, but adoption proof is still thinner
sherlock-project/sherlock has enough public attention and recent movement to stay on the shortlist, but package usage is still partial, so the next step should be source and ecosystem validation rather than a quick yes.
82.7K public stars in the current GitStar snapshot.
Recognizable in the ecosystem
Last commit Apr 29, 2026.
Fresh activity
Treat stars as discovery context until a linked package appears.
No linked package mapping
One or more key signals are partial, so GitStar keeps the interpretation conservative.
Partial snapshot
Snapshot facts
- 82.7K stars
- 9.6K forks
- Last commit Apr 29, 2026
- Package usage not mapped yet
Compare lens
pytorch/pytorch and trimstray/the-book-of-secret-knowledge are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.
Signal trail
Trajectory
Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.
Package reality
No linked npm or PyPI package is mapped for this repository yet, so the page leans more heavily on GitHub-visible popularity and should be read more conservatively.
GitStar expects a package signal here, but no npm or PyPI package is linked to this repository yet.
Validation note
GitStar can summarize public signals for sherlock-project/sherlock, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.
GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.
Why this rank
This repository stands out because it combines fresh update and stable visibility.
Reconstructed from current stars and cached daily/weekly/monthly deltas.
GitStar can see repository momentum, but it does not have a reliable linked package signal yet.
Treat stars and recent movement as discovery context only until npm or PyPI usage is available.
pytorch/pytorch
Shares the network category footprint with sherlock-project/sherlock, so the comparison is closer to a same-problem decision than a same-language coincidence.
trimstray/the-book-of-secret-knowledge
Shares the security category footprint with sherlock-project/sherlock, so the comparison is closer to a same-problem decision than a same-language coincidence.
tensorflow/tensorflow
Shares the network category footprint with sherlock-project/sherlock, so the comparison is closer to a same-problem decision than a same-language coincidence.
awesome-selfhosted/awesome-selfhosted
Shares the network category footprint with sherlock-project/sherlock, so the comparison is closer to a same-problem decision than a same-language coincidence.
Cross-links
GitStar picked pytorch + the-book-of-secret-knowledge as the closest next comparison from the related repository set.
Embed Badge
[](https://gitstar.space/repo/sherlock-project/sherlock)<a href="https://gitstar.space/repo/sherlock-project/sherlock"><img src="https://gitstar.space/api/badge/sherlock-project/sherlock" alt="GitStar"></a>🔗 Wider nearby ecosystem
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
An Open Source Machine Learning Framework for Everyone
A list of Free Software network services and web applications which can be hosted on your own servers
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
A collection of various awesome lists for hackers, pentesters and security researchers
Next step after the validation read
Learn and methodology
About This Page
This page provides a quick overview of sherlock-project/sherlock based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.
Want to show your project's ranking? Copy the badge embed code above and add it to your README.