SkipLabs
SkipLabs offers an open-source framework for reactive programming that transforms declarative logic into real-time streaming applications. Its incremental compute engine automatically maintains application state by recomputing only changed data, eliminating the complexity of manual stream programming. The framework supports TypeScript and JSON, runs locally with no server management, and handles batch, streaming, or hybrid workloads.
- Developer Tools
- Software Only
- Artificial Intelligence
Funding
Founders
Founder details are not available yet.
Product
Problem
Building real-time features typically requires developers to manage complex stream programming and recompute excessive amounts of data, leading to high engineering overhead and inefficient resource use. This complexity makes it difficult to keep application state live, fresh, and correct without significant performance costs.
Solution
Skip Labs offers an open-source framework that transforms declarative logic into streaming applications through an incremental compute engine. Developers define views once, and the runtime automatically maintains them in real time, only triggering recomputation for data that has actually changed. The framework uses a point-in-time programming model that removes the challenges of stream programming, while supporting both batch and streaming data or a mix of both. It runs locally with no server to manage, provides transparent state management and failure handling, and allows services to be reused through mirroring.
Target Audience
Primary users are backend and full-stack developers building real-time applications who want to simplify state management and avoid the complexity of manual stream programming.
Features
- 100% MIT-licensed open-source framework with no vendor lock-in
- Incremental compute engine that recomputes only changed data, minimizing resource usage
- Declarative point-in-time programming model that eliminates async complexity
- Native support for TypeScript and JSON with familiar syntax
- Flexible data handling for batch, streaming, or hybrid workloads
- Transparent state management and failure handling for resilient applications
- Lightweight runtime that runs locally with no server management required
- Service mirroring capability for reusing and sharing built services