# hangone/WeBan

安全微伴（weiban）安全微课 大学生安全教育 自动刷课脚本工具 附带题库

Repository: https://github.com/hangone/WeBan
Canonical: https://ross.abutalabs.com/products/weban
Language: Python
License: GPL-3.0
License Family: copyleft
Last push: 2026-08-26T09:20:47+00:00

## Health v2 (maintenance only)
Score: 85/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 86, longevity 54
- inputs: {"age_days": 756, "days_push": 7, "days_rel": 12, "gap_med": 0, "n_releases_24m": 68}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1712, forks 86 (observed 2026-08-28T04:05:25.635448+00:00)

## What it is
WeBan is a Python-based automation tool that automatically completes courses and exams on the Weiban (安全微伴) university safety education platform, using a shared question bank and automatic captcha recognition. It ships as prebuilt binaries for Windows, macOS, and Linux, supports multi-account concurrent runs, and Docker/cron unattended operation.

## Use cases
- automatically finish weiban safety course videos
- auto-answer weiban exams from a question bank
- bypass slider and click captchas automatically
- run multiple student accounts concurrently
- run unattended via docker or cron on a cheap VPS
- contribute answers to a shared question bank

## When to choose
- you need to complete Weiban safety education courses and exams without manual clicking
- you want multi-account, multi-threaded execution with captcha auto-recognition
- you need a no-Python, download-and-run binary for any OS

## When to avoid
- your school uses a different safety education platform
- you need a GUI application rather than a CLI/binary tool
- automating coursework violates your institution's policies and you want to stay compliant

## Facets
- artifact type: cli-tool
- maturity: active
- function: workflow-automation, ocr, web-scraping, developer-tools
- domain: education, developer-tools
- platform: python, windows, cli
- tags: weiban, auto-course-completion, exam-automation, captcha-recognition, question-bank, multi-account, safety-education, automation, macos, linux, docker

## Member repositories
- hangone/WeBan (main) score 85

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:25.635448+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 2026-08-30T03:34:52.594797+00:00, confidence not recorded.
  - readme: https://github.com/hangone/WeBan (fetched 2026-08-28T04:05:25.635448+00:00, sha c05c7908f04c)
- Data as of 2026-08-30T08:39:29.467469+00:00.