awesome-repositories.com
博客
MCP
awesome-repositories.com

通过 AI 驱动的搜索,发现最优秀的开源仓库。

探索精选搜索开源替代品自托管软件博客网站地图
项目MCP 服务器关于排名机制媒体报道
法律隐私政策服务条款
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

2 个仓库

Awesome GitHub RepositoriesLanguage Interoperability Layers

Architectural layers that provide a bridge between different programming languages or bytecode formats within the same runtime.

Distinct from Java and JVM Ecosystem: Candidates focus on bytecode analysis or specific language resources, not the architectural bridge between Java and Kotlin idioms.

Explore 2 awesome GitHub repositories matching software engineering & architecture · Language Interoperability Layers. Refine with filters or upvote what's useful.

Awesome Language Interoperability Layers GitHub Repositories

用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
  • reactivex/rxkotlinReactiveX 的头像

    ReactiveX/RxKotlin

    7,041在 GitHub 上查看↗

    RxKotlin is a reactive programming library and asynchronous stream processor that provides Kotlin language extensions for composing event-based data streams. It serves as a set of Kotlin bindings for RxJava, allowing developers to transform, filter, and flatten sequences of data emitted over time. The library focuses on integrating RxJava patterns into Kotlin projects by applying language-specific conventions and idioms. It utilizes extension functions to simplify reactive programming patterns, reduce boilerplate, and optimize workflows within the reactive ecosystem. The toolkit covers a bro

    Wraps RxJava to provide a seamless bridge between Java bytecode and Kotlin-specific reactive idioms.

    Kotlinkotlinrxjava
    在 GitHub 上查看↗7,041
  • oracle-samples/clara-rulesoracle-samples 的头像

    oracle-samples/clara-rules

    1,231在 GitHub 上查看↗

    Clara Rules is a declarative logic programming library and business rules management system designed for Clojure and Java applications. It functions as a forward-chaining inference engine that evaluates business logic by matching data patterns against defined rules, allowing developers to derive new information and trigger automated actions based on the current state of a fact set. The engine utilizes a directed acyclic graph for pattern matching, which enables efficient evaluation across complex rule sets. It incorporates a truth maintenance system that tracks dependencies between facts and

    Maps native Java objects and records directly into the engine for seamless data integration.

    Clojure
    在 GitHub 上查看↗1,231
  1. Home
  2. Software Engineering & Architecture
  3. Language Interoperability Layers

探索子标签

  • Host-Language MappingsArchitectural bridges that map native objects and records into an internal fact representation. **Distinct from Language Interoperability Layers:** Distinct from Language Interoperability Layers: focuses specifically on mapping data models (beans/records) into the engine's fact space.