dreammis/social-auto-upload

自动化上传视频到社交媒体:抖音、小红书、视频号、tiktok、youtube、bilibili

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Summary Information

Updated 9 minutes ago
Added to GitGenius on September 4th, 2026
Created on December 4th, 2023
Open Issues & Pull Requests: 64 (+0)
GitHub issues: Enabled
Number of forks: 2,539
Total Stargazers: 14,816 (+0)
Total Subscribers: 91 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.7 days
Mean response time: 45.5 days
90th percentile: 129.4 days
Tracked items: 123

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 82% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 12% of issues opened in the past year have been closed. Three people close 93% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 44
New in 7 days: 2
Closed in 7 days: 1
Avg open age: 239 days
Stale 30+ days: 35
Stale 90+ days: 28

Recent activity

Opened in 7 days: 2
Closed in 7 days: 1
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (6)

Detailed Description

social-auto-upload is a Python automation tool for batch uploading videos to multiple social media platforms.

The tool solves the problem of manually uploading the same video content to different platforms by providing a unified interface that handles video distribution across domestic and international social networks. It implements platform-specific uploader modules for services including Douyin, Bilibili, Xiaohongshu, Kuaishou, WeChat Channels, Baijia, Alipay Life Account, Weibo, Hupu, TikTok, and YouTube. Users configure their target platforms and can then publish videos with a single action, including support for scheduled publishing across multiple destinations.

The tool is designed for content creators and operations teams managing multi-platform distribution strategies. It suits anyone producing video content who wants to maintain presence across both Chinese domestic platforms and international services without manually uploading to each one. The modular uploader architecture allows configuration and extension of supported platforms through example scripts, making it accessible to users without deep technical expertise.

The project shows active development with ongoing work to support additional platforms and features. The codebase includes structured documentation and quick-start examples to help users get running immediately. Community engagement is facilitated through dedicated communication channels for questions and support.