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Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
47K starsAug 25, 2026 pushdata-analysisPythonETL
$ npx skills add apache/airflowAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
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QMT/MiniQMT xtquant 原生 API 知识库，用于编写、调试或扩展调用 `xtquant.xtdata` 的 A 股数据采集任务。 适用场景：下载/读取 K线、tick、财务、合约信息、板块分类、指数权重、除权因子数据；股票代码与 UTC 毫秒时间戳转换；MiniQMT 连接失败排障（返回 -1、端口冲突、session、权限）。覆盖 xtdata 的 download_*→get_* 核心范式、全部函数签名、各类数据字段 schema，以及关键坑（get_market_data 与 get_market_data_ex 返回结构不同、单股订阅 ≤50、tick 时间戳为 UTC 毫秒需 +8h、静态信息无需频繁下载）。 当处理 xtquant / xtdata / MiniQMT / QMT 相关的行情数据接口、字段含义或下载逻辑时使用； 亦含 xttrader 交易模块（报单/撤单/查询/回调）与分品种数据字典（stock/index/future）参考。
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
$ npx skills add apache/airflowApache Superset is a Data Visualization and Data Exploration Platform
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$ npx skills add streamlit/streamlitHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep qmt-xtquant if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.