hpcaitech/open-sora

Open-Sora: Democratizing Efficient Video Production for All

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Summary Information

Updated 11 minutes ago
Added to GitGenius on September 1st, 2026
Created on February 20th, 2024
Open Issues & Pull Requests: 14 (+0)
GitHub issues: Enabled
Number of forks: 3,056
Total Stargazers: 29,545 (+2)
Total Subscribers: 247 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 32.7 hours
Mean response time: 7.3 days
90th percentile: 13.5 days
Tracked items: 165

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 15% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 0
New in 7 days: 0
Closed in 7 days: 0
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

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

Top labels

  • stale (191)
  • bug (16)
  • question (6)
  • documentation (5)
  • help wanted (5)
  • duplicate (1)
  • enhancement (1)
  • wontfix (1)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Open-Sora is a video generation framework that aims to make efficient video production accessible to users without requiring extensive computational resources.

The project addresses the challenge of high computational costs in video generation by providing an implementation designed for efficiency. It focuses on democratizing access to video production capabilities, enabling users to generate videos without needing specialized hardware or prohibitive computational budgets. The framework is built on Python and provides tools to reduce the barriers to entry for video generation tasks.

Developers considering adoption should evaluate whether their use case involves video generation at scale or on resource-constrained systems. The project is suited for teams seeking to integrate video generation into applications without incurring extreme infrastructure costs. The README does not provide explicit comparisons to alternative video generation frameworks, so adoption decisions should be based on the project's efficiency claims and the specific computational constraints of your deployment environment.

The project shows active development with ongoing work to improve the framework's capabilities and performance characteristics. Contributors are engaged in refining the codebase to support the core mission of making video generation more accessible. The development effort reflects a commitment to maintaining and expanding the tool's functionality for its intended audience.