awesome-repositories.com
Blog
MCP
awesome-repositories.com

Entdecke die besten Open-Source-Repositories mit KI-gestützter Suche.

EntdeckenKuratierte SuchenOpen-Source-AlternativenSelf-hosted SoftwareBlogSitemap
ProjektMCP-ServerÜber unsRanking-MethodikPresse
RechtlichesDatenschutzAGB
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

2 Repos

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

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • wasmedge/wasmedgeAvatar von WasmEdge

    WasmEdge/WasmEdge

    10,665Auf GitHub ansehen↗

    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
    Auf GitHub ansehen↗10,665
  • hazelcast/hazelcastAvatar von hazelcast

    hazelcast/hazelcast

    6,570Auf GitHub ansehen↗

    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
    Auf GitHub ansehen↗6,570
  1. Home
  2. Networking & Communication
  3. Stream Processing Integrations