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 RepositoriesFeature Dependency Management

Logic that enforces dependencies between feature flags, ensuring a flag resolves to a fallback if its parent is disabled.

Distinct from Feature Flags: Focuses on logical dependencies between runtime feature toggles, not package-level dependency management.

Explore 2 awesome GitHub repositories matching software engineering & architecture · Feature Dependency Management. Refine with filters or upvote what's useful.

Awesome Feature Dependency Management 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。
  • facebook/lexicalfacebook 的头像

    facebook/lexical

    23,562在 GitHub 上查看↗

    Lexical is a modular rich text editor framework used to build extensible web-based editors. It functions as a state-driven content editor that maintains a serializable, immutable snapshot of document content to ensure predictable updates and accessibility compliance. The framework is distinguished by its plugin-based architecture and customizable node framework, which allow developers to extend editor behavior through specialized content nodes and encapsulated runtime logic. It also includes a collaborative editing engine capable of synchronizing document state across multiple clients in real

    Implements logic to declare and enforce dependencies between editor features to ensure conditional functionality.

    TypeScript
    在 GitHub 上查看↗23,562
  • growthbook/growthbookgrowthbook 的头像

    growthbook/growthbook

    7,351在 GitHub 上查看↗

    GrowthBook is a feature flagging and experimentation platform that utilizes a warehouse-native approach to data analysis. It serves as a system for managing feature rollouts and conducting A/B tests by executing SQL queries directly against existing data warehouses to calculate experiment results. The platform is distinguished by its integration of a Model Context Protocol server, which allows AI coding assistants and IDEs to manage flags and query analytics using natural language. It also provides specialized capabilities for AI model optimization, enabling the testing of prompts and models

    Resolves a feature to its fallback value if required dependent flags are not met.

    TypeScriptab-testingabtestabtesting
    在 GitHub 上查看↗7,351
  1. Home
  2. Software Engineering & Architecture
  3. Feature Flags
  4. Feature Dependency Management