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guanyixuan/pyjianyingdraft

轻量、灵活、易上手的Python剪映草稿生成及导出工具，构建全自动化视频剪辑/混剪流水线。本项目的CapCut版本正于 https://github.com/GuanYixuan/pyCapCut 内开发

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Summary Information

Updated 13 minutes ago
Type:Library / SDKCategory(s):Image, Video & Audio EditingWorkflow Automation & No-CodeMedia, Graphics & Games
Added to GitGenius on September 15th, 2026
Created on July 17th, 2024
Open Issues & Pull Requests: 48 (+0)
GitHub issues: Enabled
Number of forks: 663
Total Stargazers: 4,390 (+0)
Total Subscribers: 23 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 30.1 hours
Mean response time: 14.0 days
90th percentile: 25.0 days
Tracked items: 165

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How this project is maintained

Roughly one issue in three opened in the past year never receives a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "bug" is answered fastest, typically in about 3 hours, while "planned feature" waits about 24 hours. Only 47% of issues opened in the past year have been closed. Three people close 84% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 46
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 342 days
Stale 30+ days: 43
Stale 90+ days: 39

Recent activity

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

Top labels

  • discussion (19)
  • planned feature (16)
  • bug (12)
  • archive (2)
  • good first issue (2)

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Detailed Description

pyjianyingdraft is a Python tool for generating and exporting Jianying video editing drafts programmatically.

The tool addresses the need to automate video editing workflows by providing a lightweight, flexible interface to create Jianying draft files and export them. Rather than manually constructing video projects through the Jianying interface, developers can generate drafts programmatically, enabling fully automated video editing and remixing pipelines. This approach allows video production tasks to be integrated into larger automation systems and scripted workflows.

The tool suits developers building automated video production systems who want to programmatically control Jianying projects without manual intervention. It is designed to be lightweight and easy to learn, making it accessible for those new to video automation. The project has a parallel CapCut implementation under development in a separate repository for developers targeting that platform instead.

Development activity shows consistent engagement with the codebase through regular commits and active maintenance of the repository.