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xiewangzhenyan/python-recruitment-analysis

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本项目是一个基于Python的招聘数据分析平台,通过爬取Boss直聘等招聘网站的岗位信息,对数据进行清洗、存储、分析,并通过Web界面为用户提供直观的可视化展示。平台包含岗位数据分析、薪资预测、岗位匹配等核心功能,旨在帮助求职者了解IT行业就业市场现状,提高求职效率。

active 2025-06-18 → 2026-09-04 (UTC)

Complete coverage28,338 / 28,338 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-07 (UTC)
Events
16
Pushes
0
Pull requests
0
Issues
1
Stars
13
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 444 days from 2025-06-18 to 2026-09-04. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 13 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
now-1011000

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 13 stars here means stars gained during the window, not the repo's star count.