[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-9746":3},{"id":4,"name":5,"fullName":6,"owner":5,"repo":5,"description":7,"homepage":8,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":15,"forks30d":15,"starsTrendScore":19,"compositeScore":20,"rankGlobal":9,"rankLanguage":9,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":24,"hasPages":22,"topics":25,"createdAt":9,"pushedAt":9,"updatedAt":44,"readmeContent":45,"aiSummary":46,"trendingCount":15,"starSnapshotCount":15,"syncStatus":47,"lastSyncTime":48,"discoverSource":49},9746,"mage-ai","mage-ai\u002Fmage-ai","🧙 Build, run, and manage data pipelines for integrating and transforming data.","https:\u002F\u002Fwww.mage.ai",null,"Python",8749,968,60,433,0,1,7,30,4,39.96,"Apache License 2.0",false,"master",true,[26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"artificial-intelligence","data","data-engineering","data-integration","data-pipelines","data-science","dbt","elt","etl","machine-learning","orchestration","pipeline","pipelines","python","reverse-etl","spark","sql","transformation","2026-06-12 02:02:12","# Mage OSS\n\n### Build modern data pipelines locally — fast, visual, and production-ready.\n\n\u003Cbr \u002F>\n\nMage OSS is a self-hosted development environment designed to help teams create production-grade data pipelines with confidence.\n\nIdeal for automating ETL tasks, architecting data flow, or orchestrating transformations — all in a fast, notebook-style interface powered by modular code.\n\nWhen it’s time to scale, [Mage Pro](https:\u002F\u002Fmage.ai) — our core platform — unlocks enterprise orchestration, collaboration, and AI-powered workflows.\n\n\u003Cbr \u002F>\n\n\u003Ca href=\"https:\u002F\u002Fmage.ai\">\u003Cimg alt=\"Mage AI GitHub repo stars\" src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fmage-ai\u002Fmage-ai?style=for-the-badge&logo=github&labelColor=000000&logoColor=FFFFFF&label=stars&color=0500ff\" \u002F>\u003C\u002Fa>\n\u003Ca href=\"https:\u002F\u002Fhub.docker.com\u002Fr\u002Fmageai\u002Fmageai\">\u003Cimg alt=\"Mage AI Docker downloads\" src=\"https:\u002F\u002Fimg.shields.io\u002Fdocker\u002Fpulls\u002Fmageai\u002Fmageai?style=for-the-badge&logo=docker&labelColor=000000&logoColor=FFFFFF&label=pulls&color=6A35FF\" \u002F>\u003C\u002Fa>\n\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fmage-ai\u002Fmage-ai\u002Fblob\u002Fmaster\u002FLICENSE\">\u003Cimg alt=\"Mage AI license\" src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Flicense\u002Fmage-ai\u002Fmage-ai?style=for-the-badge&logo=codeigniter&labelColor=000000&logoColor=FFFFFF&label=license&color=FFCC19\" \u002F>\u003C\u002Fa>\n\u003Ca href=\"https:\u002F\u002Fwww.mage.ai\u002Fchat\">\u003Cimg alt=\"Join the Mage AI community\" src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FJoin%20the%20community-black.svg?style=for-the-badge&logo=lightning&labelColor=000000&logoColor=FFFFFF&label=&color=DD55FF&logoWidth=20\" \u002F>\u003C\u002Fa>\n\n\u003Cbr \u002F>\n\n## What you can do with Mage OSS\n\n- Build pipelines locally with Python, SQL, or R in a modular notebook-style UI\n\n- Run jobs manually or on a schedule (cron supported)\n\n- Connect to databases, APIs, and cloud storage with prebuilt connectors\n\n- Debug visually with logs, live previews, and step-by-step execution\n\n- Set up quickly with Docker, pip, or conda — no cloud account required\n\n- Your go-to workspace for local pipeline development — fully in your control.\n  \n\u003Cimg width=\"100%\" alt=\"mage\" src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F75992872-20a6-4120-8bf0-9c22a3d66450\" \u002F>\n\n\n\u003Cbr \u002F>\u003Cbr \u002F>\n\n## Start local. Scale when you're ready.\n\nUse Mage OSS to build and run pipelines on your machine. When you're ready for advanced tooling, performance, and AI-assisted productivity, Mage Pro is just one click away.\n\n[**Try Mage Pro free →**](https:\u002F\u002Fmage.ai)\n\n\u003Cbr \u002F>\n\n### Quickstart\n\nInstall using Docker (recommended):\n\n```bash\ndocker pull mageai\u002Fmageai:latest\n```\n\nOr with pip:\n\n```bash\npip install mage-ai\n```\n\nOr with conda:\n\n```bash\nconda install -c conda-forge mage-ai\n```\n\nFull setup guide and docs: [docs.mage.ai](https:\u002F\u002Fdocs.mage.ai\u002Fgetting-started\u002Fsetup#%E2%9B%B5%EF%B8%8F-mage-oss-overview)\n\n\u003Cbr \u002F>\n\n## Core Features\n\n| Feature | Description |\n| :- | :- |\n| Modular pipelines | Build pipelines block-by-block using Python, SQL, or R |\n| Notebook UI | Interactive editor for writing and documenting logic |\n| Data integrations | Prebuilt connectors to databases, APIs, and cloud storage |\n| Scheduling | Trigger pipelines manually or on a schedule |\n| Visual debugging | Step-by-step logs, data previews, and error handling |\n| dbt support | Build and run dbt models directly inside Mage |\n\n\u003Cbr \u002F>\n\n## Example Use Cases\n\n- Move data from Google Sheets to Snowflake with a Python transform\n- Schedule a daily SQL pipeline to clean and aggregate product data\n- Develop dbt models in a visual notebook-style interface\n- Run simple ETL\u002FELT jobs locally with full transparency\n\n\u003Cbr \u002F>\n\n## Documentation\n\nLooking for how-to guides, examples, or advanced configuration?\n\nExplore our full documentation at [docs.mage.ai](https:\u002F\u002Fdocs.mage.ai).\n\n\n\u003Cbr \u002F>\n\n## Contributing\n\nWe welcome contributions of all kinds — bug fixes, docs, new features, or community examples.\n\nStart with our [contributing guide](https:\u002F\u002Fdocs.mage.ai\u002Fcontributing\u002Foverview), check out open issues, or suggest improvements.\n\n\u003Cbr \u002F>\n\n## Ready to scale? Mage Pro has you covered.\n\nMage Pro is a powered-up platform built for teams.\nIt adds everything you need for production pipelines, at scale.\n\n- Magical AI-assisted development and debugging\n- Multi-environment orchestration\n- Role-based access control\n- Real-time monitoring & alerts\n- Powerful CI\u002FCD & version control\n- Powerful enterprise features\n- Available fully managed, hybrid, or on-premises\n\n[**Try Mage Pro free →**](https:\u002F\u002Fmage.ai)\n","Mage-ai 是一个用于构建、运行和管理数据集成与转换管道的工具。它支持使用 Python、SQL 或 R 语言在模块化的笔记本风格界面中创建数据管道，并提供了手动或定时执行任务的功能。项目具备强大的数据连接能力，支持多种数据库、API 和云存储服务的预构建连接器。此外，其可视化调试功能包括日志、实时预览和逐步执行，便于开发者快速定位问题。Mage-ai 适合需要本地开发和测试数据处理流程的数据工程师或团队，在无需云账户的情况下即可完成环境搭建。当需要更高级别的协作、调度及AI辅助工作流时，可无缝升级至 Mage Pro。",2,"2026-06-11 03:24:31","top_topic"]