Ross ROSS = Recommend OSS · open-source software intelligence for agents

WeiChiaChang/stacks-cli

📊 Analyze website stack from the terminal 💻 observed · 2026-08-28

github.com/WeiChiaChang/stacks-cli · JavaScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

23/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3212
  • days_rel: n/a
  • days_push: 2719
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1998 stars · 69 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Node.js command-line tool that detects the technology stack of a website from the terminal, similar to the Wappalyzer browser extension. It prompts for or accepts a URL and reports the frameworks, servers, and other technologies behind it.

Use cases

  • check what technologies a website is built with from the terminal
  • identify the tech stack behind a URL without installing a browser extension
  • analyze website frameworks and servers via CLI
  • quickly fingerprint a site's stack during reconnaissance
  • run tech-stack detection inside a Docker container

When to avoid

  • you need deep, regularly updated technology fingerprints like Wappalyzer provides
  • you need a GUI or browser-integrated detection experience
  • you need programmatic APIs or bulk scanning of many sites

Facets

cli-tool · maturity maintenance

cli developer-tools analytics developer-tools web-development cli cross-platform tech-stack-detection website-fingerprinting terminal wappalyzer-alternative command-line nodejs docker

2 sources

Member repositories

RepositoryRoleHealth v2
WeiChiaChang/stacks-climain23

For agents

markdown · JSON · MCP: product_card(name="WeiChiaChang/stacks-cli")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem