predidit/kazumi

基于自定义规则的番剧采集APP,支持流媒体在线观看,支持弹幕,支持实时超分辨率。

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Summary Information

Updated 58 minutes ago
Added to GitGenius on September 1st, 2026
Created on May 9th, 2024
Open Issues & Pull Requests: 507 (+0)
GitHub issues: Enabled
Number of forks: 886
Total Stargazers: 29,704 (+3)
Total Subscribers: 66 (+0)

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Issue Activity (beta)

Open issues: 473
New in 7 days: 9
Closed in 7 days: 6
Avg open age: 286 days
Stale 30+ days: 411
Stale 90+ days: 338

Recent activity

Opened in 7 days: 7
Closed in 7 days: 4
Comments in 7 days: 5
Events in 7 days: 15

Top labels

  • bug (658)
  • enhancement (426)
  • question (285)
  • help wanted (10)
  • documentation (5)
  • good first issue (3)
  • announcement (2)

Detailed Description

Kazumi is a cross-platform anime streaming application that aggregates content through customizable rules.

The tool addresses the fragmentation of anime sources by allowing users to define custom collection rules that pull from multiple streaming providers. It combines real-time upscaling, danmaku (floating comment) support, and direct streaming playback into a single interface, eliminating the need to switch between separate services or applications.

Kazumi suits developers and users seeking a unified anime viewing experience across devices without being locked into a single content provider. The customizable rule system means power users can adapt the application to their preferred sources, and the cross-platform nature—supporting Android, iOS, Windows, macOS, and Linux—makes it accessible regardless of device choice. The inclusion of real-time super-resolution upscaling distinguishes it from basic streaming aggregators, as does native danmaku integration for community engagement during viewing.

Development activity shows consistent engagement with feature refinement and platform support. The project maintains active issue resolution and accepts pull requests that expand functionality. Updates address both core streaming capabilities and user-facing features like the upscaling system and comment rendering. The codebase demonstrates attention to cross-platform compatibility, with ongoing work to ensure parity across different operating systems.