PeopleInSpace
3,440
Stars
315
Forks
35
Watchers
6
Open Issues
Apache-2.0
许可证
Kotlin
语言
2019-12-22
创建时间
2026-11-12
最近更新
项目能做什么
Kotlin Multiplatform 示例项目,涵盖各平台 UI 及 Ktor 后端。
来源:基于仓库元数据
· 内容以仓库实际 README 为准
使用说明 查看原始 README 原仓库文档
中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
# PeopleInSpace

**Kotlin Multiplatform** project with SwiftUI, Jetpack Compose, Compose for Wear OS, Compose for Desktop and Compose for Web clients along with Ktor backend. Currently running on
* Android (Jetpack Compose)
* Android App Widget (Compose based Glance API - contributed by https://github.com/yschimke)
* Wear OS (Compose for Wear OS - primarily developed by https://github.com/yschimke)
* iOS (SwiftUI)
* Desktop (Compose for Desktop)
* Web (Compose for Web - Wasm based)
* Windows (WinUI 3)
* JVM (small Ktor back end service + `Main.kt` in `common` module)
* MCP server (using same shared KMP code)
The people data comes from [The Space Devs API](https://thespacedevs.com/llapi) (names, bios and images of the people
currently in space) and the position of the International Space Station from the
[Where the ISS at? API](https://wheretheiss.at/w/developer), both served through this
project's own small Ktor backend (see `backend` module below).
The project is included as sample in the official [Kotlin Multiplatform docs](https://kotlinlang.org/docs/multiplatform-samples.html) and also the [Google Dev Library](https://devlibrary.withgoogle.com/products/android)
### Architecture
All of the clients are thin UI layers over the same `common` module: the shared view models expose
`StateFlow`s of UI state, backed by a single repository that treats the local SQLDelight database as
the source of truth and refreshes it from the network.
```mermaid
flowchart TB
subgraph clients["Clients"]
direction LR
android["<b>app</b><br/>Android · Jetpack Compose<br/>+ Glance / Remote Compose widgets"]
wear["<b>wearApp</b><br/>Wear OS · Compose + Tile"]
ios["<b>PeopleInSpaceSwiftUI</b><br/>iOS · SwiftUI (Swift Export)"]
desktop["<b>compose-desktop</b><br/>JVM · Compose for Desktop"]
web["<b>compose-web</b><br/>Kotlin/Wasm · Compose"]
winui["<b>windows/WinUiApp</b><br/>.NET · WinUI 3"]
mcp["<b>mcp-server</b><br/>JVM · Kotlin MCP SDK"]
end
subgraph common["common (Kotlin Multiplatform)"]
direction TB
cmpui["Compose Multiplatform UI<br/><i>PersonList / ISSPosition / ISSMapView</i><br/>(expect/actual map per platform)"]
vm["View models<br/><i>PersonListViewModel · ISSPositionViewModel</i><br/>StateFlow<UiState>"]
winclient["PeopleInSpaceClient<br/><i>mingwX64, exported via NuGet</i><br/>(no Koin / AndroidX)"]
repo["<b>PeopleInSpaceRepository</b><br/>offline-first: DB is source of truth,<br/>ISS position polled every 10s"]
db[("SQLDelight<br/>PeopleInSpaceDatabase")]
api["Ktor client APIs<br/><i>PeopleInSpaceApi · AstroviewerApi</i>"]
koin{{"Koin DI<br/>(annotations + compiler plugin)"}}
cmpui --> vm
vm --> repo
winclient --> repo
repo --> db
repo --> api
koin -.-> repo
end
subgraph r
阅读完整原文
项目深度分析 规则生成(AI 未配置)
综合评分 42.6 分。该项目在“个人可实施性”维度得 40 分,“付费可能性”维度得 20.0 分,差异化空间 70.0 分(评分依据见评分卡)。
面向细分需求的二次开发产品
| 产品构想 | 基于 PeopleInSpace 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。 |
| 目标用户 | 该细分场景用户 |
| 难度/周期 | 中 · 2~6 周 |
| 收费模式 | 买断制 / 订阅制 / 广告 |
| 竞争风险 | 细分需求规模需验证 |
| 依据 | AI 推测:基于项目主题标签的判断 |
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
报告会保存到 个人中心
竞品与相似项目 GitHub Search 真实检索
| 项目 | 中文简介 | Stars | 语言 |
|---|---|---|---|
| joreilly/peopleinspace-lib | 中文介绍暂未生成 Example Kotlin Multiplatform library that provides API to re |
10 | Kotlin |
| joreilly/PeopleInSpacePackage | 中文介绍暂未生成 Swift Package for https://github.com/joreilly/PeopleInSpace. |
5 | Objective-C |
| joreilly/PeopleInSpaceGraphQLServer | 中文介绍暂未生成 Cloud Run based GraphQL backend for PeopleInSpace supporting |
5 | Kotlin |
| akashkahalkar/PeopleInSpace | 中文介绍暂未生成 Gives List of people currently in space. |
4 | Swift |
| jstuder/MMM-peopleinspace | 中文介绍暂未生成 howmanypeopleareinspacerightnow module for MagicMirror2 |
3 | JavaScript |
| bertrik/peopleinspacenow | 中文介绍暂未生成 Indicates the number of people currently in space (> 100 km |
2 | C++ |
以上为通过 GitHub 官方 Search API 检索的相似项目,功能差异与优劣势需进一步人工确认,配置 AI 后可生成对比分析。
项目优势与风险
| 技术成熟度 | 创建于 2019-12-22,近 30 天仍在推送 |
| 社区活跃 | Star 3,440 / Fork 315 / Issue 6(数据支持,可自行核实) |
| 许可证 | Apache-2.0 |
| 主要风险 | 上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价 |
安装与使用
此项目未提供 Docker 镜像,安装步骤以原仓库 README 为准(涉及依赖安装与环境配置,对新手门槛较高)。