基于python+爬虫+vue的豆瓣影视数据可视化系统(源代码+数据库+15000字论文+开题+答辩ppt)230 一、系统介绍 1、用户: 注册、登录 大屏数据分析:高分电影数、总评价数、电影总数、评分趋势、评分与演员数量分布、评价数量分布、演员电影关系网络、电影类型数量占比、前十国家分析 用户管理、电影管理 评分分布环状图、评分分布柱状图 影片数据分布地图 电影类型分布、电影�
active 2025-07-02 → 2026-03-03 (UTC)
Activity over time
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Line chart, 245 days from 2025-07-02 to 2026-03-03. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 2 total, peak 1 in a day.
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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
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Recent activity
Latest issues, pull requests and releases
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.