projectdiscovery/wappalyzergo
A high performance go implementation of Wappalyzer Technology Detection Library observed · 2026-10-18
Health v2 · maintenance only
96/100
- Activity 100
- Release rhythm 88
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 7
- age_days: 2023
- days_rel: 3
- days_push: 3
- n_releases_24m: 106
Adoption not part of the score
1120 stars · 171 forks observed · 2026-10-18
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A high-performance Go library that ports the Wappalyzer technology detection stack, identifying web technologies from HTTP headers and HTML content. It includes an auto-updating fingerprint database and a CLI helper for refreshing fingerprints.
Use cases
- detect what technologies a website is built with
- fingerprint web servers and frameworks from HTTP responses
- identify CMS, CDN, and analytics tools used by a target site
- add tech stack detection to a security scanning tool
- enumerate web technologies during reconnaissance
When to choose
- you need technology fingerprinting in a Go program
- you want a maintained, auto-updating Wappalyzer port
- performance matters when scanning many sites
When to avoid
- you need a non-Go language implementation
- you want a ready-made GUI or browser extension rather than a library
Facets
library · maturity active
web-scraping security parser developer-tools security web-development developer-tools osint go cli cross-platform technology-detection wappalyzer fingerprinting webanalyze
1 source
- readme: https://github.com/projectdiscovery/wappalyzergo · fetched 2026-10-18 · 407d7d10ea77
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| projectdiscovery/wappalyzergo | main | 96 |
For agents
markdown · JSON · MCP: product_card(name="projectdiscovery/wappalyzergo")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem