2 个仓库
Awesome GitHub RepositoriesStream Processing Integrations
Connecting WebAssembly-hosted functions as handlers in data stream processing pipelines for automatic message processing.
Distinguishing note: No candidate in the shortlist covers stream processing integration with WebAssembly; this is a specific integration pattern.
Explore 2 awesome GitHub repositories matching networking & communication · Stream Processing Integrations. Refine with filters or upvote what's useful.
Awesome Stream Processing Integrations GitHub Repositories
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- wasmedge/wasmedge
WasmEdge/WasmEdge
10,665在 GitHub 上查看WasmEdge is an extensible WebAssembly runtime that executes WebAssembly bytecode in a secure sandbox for cloud, edge, and embedded applications. It functions as a multi-language compiler, compiling applications written in Rust, JavaScript, Go, and Python into WebAssembly bytecode for sandboxed execution, and as a server-side JavaScript runtime that runs JavaScript programs with ES6 modules, NPM packages, and Node.js-compatible APIs. The runtime also serves as an AI inference runtime, executing AI models from JavaScript using WASI-NN plug-ins for inference tasks on personal devices and edge har
Connects WebAssembly-hosted inference functions as handlers in YoMo data streams for automatic image frame processing.
C++artificial-intelligencecloudcloud-native - hazelcast/hazelcast
hazelcast/hazelcast
6,570在 GitHub 上查看Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis
Provides fault-tolerant stream processing pipelines that ingest and transform unbounded event data from external sources.
Javabig-datacachingdata-in-motion
