# imfht/fanhaodaquan

番号大全。

Repository: https://github.com/imfht/fanhaodaquan
Canonical: https://ross.abutalabs.com/products/fanhaodaquan
Language: Python
License: MIT
License Family: permissive
Last push: 2022-06-15T06:37:54+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2968, "days_push": 1540, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3567, forks 643 (observed 2026-08-28T04:08:09.952457+00:00)

## What it is
A community-maintained dataset cataloging Japanese adult video identification codes (fanhao), mapping file names, ed2k hashes, and actress information to normalized codes. Data is distributed as CSV and JSON files with CDN-hosted snapshots.

## Use cases
- look up a jav code from a file name
- normalize messy video file names to standard codes
- match ed2k hashes to video codes
- build a search tool for adult video metadata
- download actress and code lists as json

## When to choose
- you need a large offline mapping of adult video codes to file names and hashes
- you want simple CSV/JSON data to integrate into your own tool

## When to avoid
- you need a maintained application or API rather than raw data files
- updates have slowed and you need guaranteed fresh data
- adult content is not appropriate for your project

## Facets
- artifact type: dataset
- maturity: maintenance
- function: data-science, search-engine, csv, json
- domain: media, databases, entertainment
- platform: cross-platform
- tags: adult-content, jav, video-identification, ed2k, media-database, chinese, web-server

## Member repositories
- imfht/fanhaodaquan (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:09.952457+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 2026-08-29T18:34:09.798675+00:00, confidence not recorded.
  - readme: https://github.com/imfht/fanhaodaquan (fetched 2026-08-28T04:08:09.952457+00:00, sha 69cd286a78f9)
- Data as of 2026-08-30T08:39:29.467469+00:00.