midrender/revideo

Create Videos with Code

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Summary Information

Updated 41 minutes ago
Added to GitGenius on September 17th, 2026
Created on March 11th, 2024
Open Issues & Pull Requests: 63 (+0)
GitHub issues: Enabled
Number of forks: 208
Total Stargazers: 4,054 (+0)
Total Subscribers: 17 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.3 days
Mean response time: 31.3 days
90th percentile: 101.9 days
Tracked items: 35

Most active contributors

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How this project is maintained

96% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Three people close 77% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 48
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 565 days
Stale 30+ days: 48
Stale 90+ days: 45

Recent activity

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

Top labels

  • enhancement (1)

Most active issues this week

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Detailed Description

Revideo is a TypeScript framework that lets developers create videos programmatically using code instead of traditional video editing software. It provides a declarative, component-based approach where you define animations, transitions, and visual elements through code, then render them to video files. The framework handles the complexity of frame generation, timing, and video encoding, allowing developers to treat video creation as a software engineering problem rather than a manual editing task.

The tool solves the problem of automating video production for scenarios where manual editing is impractical or repetitive. It works by letting you write TypeScript code that describes your video's structure and animations, then compiles and renders that description into a playable video file. This approach is particularly useful for generating videos from data, creating templated content at scale, or building videos as part of an automated pipeline where the video structure is determined programmatically.

Revideo suits developers who need to generate videos as part of larger applications or workflows, such as creating tutorial videos from code examples, generating data visualizations as videos, or producing templated marketing content. It is less suited for projects requiring extensive manual creative control or frame-by-frame editing. The framework is designed for those comfortable writing code and wanting to leverage version control, testing, and automation practices in video production.

The project shows active development with regular commits across its codebase. The maintainers are responsive to issues and pull requests, indicating ongoing engagement with the user community. The repository demonstrates a focus on expanding the framework's capabilities through incremental feature additions and bug fixes. Documentation and examples are maintained alongside the core codebase, suggesting attention to developer experience and onboarding.