# projectdiscovery/wappalyzergo

A high performance go implementation of Wappalyzer Technology Detection Library

Repository: https://github.com/projectdiscovery/wappalyzergo
Canonical: https://ross.abutalabs.com/products/wappalyzergo
Language: Go
License: MIT
License Family: permissive
Last push: 2026-08-30T00:52:00+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 100, release rhythm 87, longevity 100
- inputs: {"age_days": 1975, "days_push": 4, "days_rel": 4, "gap_med": 7, "n_releases_24m": 106}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1092, forks 168 (observed 2026-09-01T02:14:06.066410+00:00)

## What it is
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
- artifact type: library
- maturity: active
- function: web-scraping, security, parser, developer-tools
- domain: security, web-development, developer-tools, osint
- platform: go, cli, cross-platform
- tags: technology-detection, wappalyzer, fingerprinting, webanalyze

## Member repositories
- projectdiscovery/wappalyzergo (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-09-01T02:14:06.066410+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:48:58.147515+00:00, confidence not recorded.
  - readme: https://github.com/projectdiscovery/wappalyzergo (fetched 2026-09-01T02:14:06.066410+00:00, sha 407d7d10ea77)
- Data as of 2026-08-30T08:39:29.467469+00:00.