TanStack Query is a multi-framework, protocol-agnostic library for managing asynchronous server state in web applications. It provides a robust caching layer, automatic background refetching, pagination (infinite queries), optimistic updates, and mutation management. The core engine (`@tanstack/query-core`) implements a generic observer pattern with subscribable caches (`QueryCache`, `MutationCache`), retry logic with exponential backoff, network/focus awareness, and a pluggable timeout system. Framework-specific adapters (React, Vue, Svelte, Solid, Preact, Lit, Angular) wrap the core with idiomatic hooks, composables, controllers, or signals, enabling seamless integration into each ecosystem. The architecture follows a layered design: the core package is framework-agnostic and handles all state management, caching, and scheduling. Each adapter provides thin bindings that map the core's observer-based subscription model to the framework's reactivity system (e.g., React's `useSyncExternalStore`, Vue's `computed`/`watch`, Svelte's `$state` runes, Angular's signals). Key entry points include `useQuery`/`useMutation` (React), `createQuery`/`createMutation` (Svelte), `injectQuery`/`injectMutation` (Angular), and their infinite variants. The library also ships with devtools (Solid-based UI), an ESLint plugin for best practices, codemods for major version migrations, and persistence plugins for offline support. Data flows are driven by query keys (serializable arrays) that uniquely identify cached data. Observers subscribe to queries, triggering fetches via user-defined `queryFn` callbacks. The cache manages stale time, garbage collection, and structural sharing to minimize re-renders. Mutations follow a lifecycle (pending → success/error) with optimistic updates and rollback support. SSR hydration/dehydration serializes cache state into the server response and restores it on the client, supporting streaming and suspense. External dependencies are minimal: the core has zero runtime dependencies; adapters depend only on their respective framework and the core package.
This repository provides a GitHub Action (stale-repos) that scans a GitHub organization or user account to identify repositories that have been inactive for a configurable number of days. It is implemented as a Python script packaged in a Docker container, using the PyGithub library to interact with the GitHub API. The action supports authentication via personal access token or GitHub App installation, and can optionally include additional metrics such as days since last release or pull request. Output is generated as both a Markdown report and JSON, and can be automatically added to the GitHub Actions workflow summary. The codebase is well-structured with clear separation of concerns (auth, env, markdown, main logic), comprehensive test coverage, and modern Python tooling (uv, type hints, linting). It is actively maintained with a robust CI/CD pipeline and follows semantic versioning.
This repository provides gocode, an autocompletion daemon for the Go programming language. It operates as a client-server system where editors send source code and cursor position to a caching daemon, which returns context-sensitive completion candidates based on an internal type inference engine and package cache. The codebase includes robust parsers for compiled Go package archives (text, binary, indexed binary formats), a sophisticated token-based expression extractor for cursor context, and a config management system. However, the project is explicitly deprecated in favor of gopls, has not seen recent maintenance, and relies on outdated Go versions and build constraints. Its value now is primarily historical or as a reference for implementing basic Go completion in editors.