RepoPilot

sherlock-project/sherlock vs stability-ai/generative-models

Both showing Healthy signals — pick on fit, not health

As of June 2026, sherlock and generative-models both show healthy maintenance signals. sherlock was committed to 1 day ago with 24+ active contributors, while generative-models last saw a commit 6 months ago with 24+ active contributors. Both use the MIT license. Neither has known critical or high-severity CVEs in its dependency tree.

Informational only. RepoPilot summarises public signals at the time of analysis. Not professional, security, or legal advice.

sherlock-project/sherlock

Healthy

Healthy across the board

HealthyDependency

Permissive license, no critical CVEs, actively maintained — safe to depend on.

HealthyFork & modify

Has a license, tests, and CI — clean foundation to fork and modify.

HealthyLearn from

Documented and popular — useful reference codebase to read through.

HealthyDeploy as-is

No critical CVEs, sane security posture — runnable as-is.

  • Last commit today
  • 24+ active contributors
  • Distributed ownership (top contributor 32% of recent commits)
  • MIT licensed
  • CI configured
  • Tests present

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

stability-ai/generative-models

Healthy

Healthy across all four use cases

HealthyDependency

Permissive license, no critical CVEs, actively maintained — safe to depend on.

HealthyFork & modify

Has a license, tests, and CI — clean foundation to fork and modify.

HealthyLearn from

Documented and popular — useful reference codebase to read through.

HealthyDeploy as-is

No critical CVEs, sane security posture — runnable as-is.

  • Slowing — last commit 5mo ago
  • Scorecard: default branch unprotected (0/10)
  • Last commit 5mo ago
  • 24+ active contributors
  • Distributed ownership (top contributor 15% of recent commits)
  • MIT licensed
  • CI configured
  • Tests present

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against OpenSSF Scorecard

Signal-by-signal breakdown

sherlockgenerative-models
Stars85,52527,151
Last commit1d ago6mo ago
LicenseMITMIT
Open issues299340
Has tests
Has CI
Test coverage100%13%
Dependency CVEsNo CVEsNo CVEs
Architecture gradeA
Cycles0
Bottom-lineHealthy signalsHealthy signals

Want the full analysis? sherlock-project/sherlock · stability-ai/generative-models

Ask AI about sherlock-project/sherlock vs stability-ai/generative-models

Open the chat with a comparison question pre-filled.