mirror of
https://github.com/pooneyy/1Panel-Appstore.git
synced 2026-03-18 07:01:02 +08:00
fa6ac99c68
- add labelEn and labelZh fields for form field labels in 1panel-tools, TDengine, action-runner, billion-mail, telegraph-image, and wechat-selkies applications - expand TDengine port configuration labels to include multiple languages: zh-hant, ja, ms, pt-br, ru, ko, tr - improve action-runner role descriptions to include enterprise support and clarify repository formats - standardize label formatting with consistent spacing and capitalization - enhance billion-mail configuration with comprehensive service labels and descriptions - update telegraph-image and wechat-selkies port labels for better clarity - add multi-language description support for TDengine main application metadata
33 lines
1.9 KiB
YAML
33 lines
1.9 KiB
YAML
name: TDengine
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tags:
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- 数据库
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title: 专为工业物联网（IIoT）场景设计的高性能、可扩展时间序列数据库
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description:
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en: High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
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zh: 专为工业物联网（IIoT）场景设计的高性能、可扩展时间序列数据库
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additionalProperties:
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key: TDengine
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name: TDengine
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tags:
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- Database
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shortDescZh: 专为工业物联网（IIoT）场景设计的高性能、可扩展时间序列数据库
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shortDescEn: High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
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type: runtime
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description:
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en: High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
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ja: 高性能で拡張可能な時系列データベースで、工業 IoT（IIoT）シナリオ向けに設計
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ms: Pantai berprestasi tinggi, pangkalan data berukuran besar beraturan masa dirancang untuk keadaan Internet of Things Industri (IIoT)
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pt-br: Banco de dados de séries temporais de alta performance e escalável, projetado para cenários de Internet das Coisas Industriais (IIoT)
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ru: Высокопроизводительная, масштабируемая база данных временных рядов, разработанная для сценариев Промышленного Интернета Вещей (IIoT)
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ko: 고성능, 확장 가능한 시계열 데이터베이스로 Industrial IoT(IIoT) 환경에 맞춰 설계되었습니다
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zh-Hant: 高效能、可擴充的時序資料庫，專為工業物聯網（IIoT）情境設計
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zh: 专为工业物联网（IIoT）场景设计的高性能、可扩展时间序列数据库
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crossVersionUpdate: true
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limit: 0
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website: https://www.taosdata.com/
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github: https://github.com/taosdata/TDengine
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document: https://docs.taosdata.com
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architectures:
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- amd64
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- arm64
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