uerax/Animaku

在线弹幕追番平台,支持在线观看,支持超分,支持视频源广告过滤,支持 OP / ED 自动跳过,支持弹幕。

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uerax/Animaku has 40+ stars on GitHub, is written in TypeScript, and was last pushed on Oct 17, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 21 minutes ago
Added to GitGenius on October 11th, 2026
Created on July 22nd, 2026
Open Issues & Pull Requests: 1 (+0)
GitHub issues: Enabled
Number of forks: 5
Total Stargazers: 44 (+0)
Total Subscribers: 0 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 6.5 hours
Mean response time: 24.8 hours
90th percentile: 2.9 days
Tracked items: 4

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Issue Activity (beta)

Open issues: 1
New in 7 days: 1
Closed in 7 days: 1
Avg open age: 12 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 1
Closed in 7 days: 1
Comments in 7 days: 0
Events in 7 days: 7

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Detailed Description

Animaku is a self-hosted streaming client for anime that brings together video playback, real-time upscaling, and community features in a single web application.

The tool addresses the fragmented experience of anime streaming by aggregating multiple video sources with direct 1080P links, integrating danmaku (bullet comments) from multiple providers, and automating common viewing tasks. It uses WebGPU to perform real-time Anime4K upscaling on the client side, applies intelligent filtering to skip opening and ending sequences, and removes advertisement segments from video sources. The application syncs viewing progress with Bangumi, a community database, and provides a broadcast schedule for tracking new episodes.

Animaku suits users who want a self-contained anime streaming setup without relying on third-party platforms. It works best for those with hardware capable of WebGPU upscaling, though the tool offers a performance mode for lower-end devices. The project is built with React and TypeScript, deployed via Docker Compose, and designed for both desktop and mobile viewing with full-screen modes and touch gesture controls. It includes features like local danmaku import, progress synchronization with Bangumi, and customizable video source ordering and filtering.

Development activity shows consistent feature completion across the stated roadmap, with implemented capabilities spanning playback infrastructure, upscaling, danmaku aggregation, episode tracking, and interface modes. The project maintains active support for multiple deployment methods and provides detailed keyboard shortcuts and gesture documentation for users. Work continues on additional features beyond the current implementation.