warp-drive-data/warp-drive

WarpDrive is the lightweight data library for ambitious web apps — universal, typed, reactive, and ready to scale.

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Summary Information

Updated 2 hours ago
Added to GitGenius on September 22nd, 2026
Created on December 20th, 2011
Open Issues & Pull Requests: 101 (+2)
GitHub issues: Enabled
Number of forks: 1,338
Total Stargazers: 3,157 (+0)
Total Subscribers: 139 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 32.1 hours
Mean response time: 104.1 days
90th percentile: 379.5 days
Tracked items: 169

How this project is maintained

About 9% of issues opened in the past year have never received a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 80% of issues opened in the past year have been closed, leaving a working backlog. Three people close 94% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 41
New in 7 days: 6
Closed in 7 days: 2
Avg open age: 815 days
Stale 30+ days: 7
Stale 90+ days: 6

Recent activity

Opened in 7 days: 6
Closed in 7 days: 2
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • :label: bug (15)
  • good-first-issue (12)
  • feature-suggestion (10)
  • v4-to-v5 (10)
  • :label: feat (8)
  • :label: doc (7)
  • concept-review (6)
  • 6.0 Roadmap (5)

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Detailed Description

WarpDrive is a data framework that provides typed, reactive data management for web applications across multiple frontend frameworks.

WarpDrive addresses the complexity of managing application state and data fetching in modern web apps by offering a unified, framework-agnostic approach to data handling. It combines reactive data patterns with fine-grained reactivity to keep UI in sync with data changes. The library is designed to work universally across different JavaScript frameworks and supports both single-page and multi-page application architectures, with built-in capabilities for local-first data patterns and query management.

The tool suits teams building ambitious web applications that need reliable data synchronization without framework lock-in. It works with React, Vue, Svelte, and Ember, making it appropriate for projects that may use multiple frameworks or plan to migrate between them. The emphasis on being lightweight and typed makes it valuable for applications where bundle size matters and where TypeScript provides development confidence. Projects requiring fine-grained reactivity and local-first capabilities will find the reactive signal-based approach particularly relevant.

The project shows consistent development activity with regular commits and ongoing refinement of its core patterns. The codebase demonstrates active maintenance through continuous updates to the data framework implementation. Development appears focused on stability and usability improvements rather than rapid feature expansion.