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── 99294 repos indexed ── | filtered by tag: #game-data
MetaCubeX/mihomo ★ 33296 4371 APPLICATION

This repository is a Python client library for the Mihomo API, which serves parsed data for the game Honkai: Star Rail. It provides a clean, async client (`MihomoAPI`) that fetches player profiles and character data, mapping the JSON responses into well-structured Pydantic models (version 1 and version 2). The codebase is tightly focused on this single external API, with no data processing or storage beyond the client. Architecture follows a typical API client pattern: a client class with request methods, Pydantic models for data representation, custom error classes, and utility functions for data manipulation (e.g., removing duplicates, merging character records, resolving icon URLs). The library is not a framework or service but a reusable component for any application that needs to consume Honkai: Star Rail player data from the Mihomo API. There are no data pipelines, notebooks, or research elements.

RATING: 8.0/10 MAINT: maintained DRIFT: medium
▸ 3 reusable components found
Mar-7th/StarRailRes ★ 527 62 DATA_RESEARCH

This repository serves as a comprehensive data and asset repository for the game Honkai: Star Rail. It contains structured JSON indexes for game entities such as characters, light cones, relics, items, achievements, and simulated universe content, localized into 13 languages. The data is organized in two versions (index_min and index_new), suggesting a migration or versioning strategy. Additionally, the repository includes a vast collection of game assets: icons for avatars, elements, paths, relics, skills, and more, as well as character portraits and preview images, light cone artwork, and simulated event images. Fonts used in the game are also provided. This repository is primarily used by developers and community tool builders to access up-to-date game data and assets for creating websites, apps, and analysis tools. The data is extracted directly from the game client and is structured in a consistent, machine-readable format, making it easy to integrate into various projects. While there is no executable code or ETL pipeline, the repository exemplifies good data organization practices with clear directory structures and multi-language support.

RATING: 7.4/10 REPRO: 9.0/10 MAINT: active DRIFT: low
▸ 1 reusable components found
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