[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-2518":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":16,"forks30d":16,"starsTrendScore":19,"compositeScore":20,"rankGlobal":10,"rankLanguage":10,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":24,"hasPages":22,"topics":25,"createdAt":10,"pushedAt":10,"updatedAt":46,"readmeContent":47,"aiSummary":48,"trendingCount":16,"starSnapshotCount":16,"syncStatus":49,"lastSyncTime":50,"discoverSource":51},2518,"taipy","Avaiga\u002Ftaipy","Avaiga","Turns Data and AI algorithms into production-ready web applications in no time.","https:\u002F\u002Fwww.taipy.io",null,"Python",19238,1987,81,193,0,11,69,4,44.9,"Apache License 2.0",false,"develop",true,[26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],"automation","data-engineering","data-integration","data-ops","data-visualization","datascience","developer-tools","hacktoberfest","hacktoberfest2023","job-scheduler","mlops","orchestration","pipeline","pipelines","python","scenario","scenario-analysis","taipy-core","taipy-gui","workflow","2026-06-12 02:00:42","[![Getting Started book announcement](https:\u002F\u002Fcdn.sanity.io\u002Fimages\u002F12yo38rb\u002Fproduction\u002Ff1ffeaabe94c5605d20321f0f417fef69b8d48f8-1860x600.png)](https:\u002F\u002Flinks.taipy.io\u002Fbookgithub)\n\u003Cdiv align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Ftaipy.io?utm_source=github\" target=\"_blank\">\n  \u003Cpicture>\n    \u003Csource media=\"(prefers-color-scheme: dark)\" srcset=\"https:\u002F\u002Fgithub.com\u002FAvaiga\u002Ftaipy\u002Fassets\u002F100117126\u002F509bf101-54c2-4321-adaf-a2af63af9682\">\n    \u003Cimg alt=\"Taipy\" src=\"https:\u002F\u002Fgithub.com\u002FAvaiga\u002Ftaipy\u002Fassets\u002F100117126\u002F4df8a733-d8d0-4893-acf0-d24ef9e8b58a\" width=\"300\" \u002F>\n  \u003C\u002Fpicture>\n  \u003C\u002Fa>\n\u003C\u002Fdiv>\n\u003C\u002Fbr>\n\u003Cdiv align=\"center\">\n    \u003Cimg\n        src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Flicense\u002FAvaiga\u002Ftaipy?style=plastic&color=ff371a&labelColor=1f1f1f\"\n        alt=\"GitHub License\"\n        height=\"20px\"\n    \u002F>\n    \u003Ca target=\"_blank\" href=\"https:\u002F\u002Fgithub.com\u002FAvaiga\u002Ftaipy\u002Freleases\">\n        \u003Cimg\n            alt=\"GitHub Release\"\n            height=\"20px\"\n            src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fv\u002Frelease\u002FAvaiga\u002Ftaipy?display_name=release&style=plastic&color=ff371a&labelColor=1f1f1f\"\n        >\u003C\u002Fa>\n\u003C\u002Fdiv>\n\u003Cdiv align=\"center\">\n   \u003Cimg\n      src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fpython-3.9%20%7C%203.10%20%7C%203.11%20%7C%203.12-ff371a?style=plastic&labelColor=1f1f1f\"\n        alt=\"Python version needed: 3.9\"\n    \u002F>\n\n\u003C\u002Fdiv>\n\u003Cdiv align=\"center\">\n    \u003Ca target=\"_blank\" href=\"https:\u002F\u002Fdocs.taipy.io\u002Fen\u002Flatest\u002F\">\n        \u003Cimg\n            src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fdocs-ff371a?style=plastic&labelColor=1f1f1f&label=Explore\"\n            height=\"20px\"\n            alt=\"Explore the docs\"\n        >\u003C\u002Fa>\n       \u003Ca target=\"_blank\" href=\"https:\u002F\u002Fdocs.taipy.io\u002Fen\u002Flatest\u002Fgallery\u002F\">\n        \u003Cimg\n            src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fgallery-ff371a?style=plastic&labelColor=1f1f1f&label=Explore\"\n            height=\"20px\"\n            alt=\"Explore Gallery\"\n        >\u003C\u002Fa>\n    \u003Ca target=\"_blank\" href=\"https:\u002F\u002Fdiscord.com\u002Finvite\u002FSJyz2VJGxV\">\n        \u003Cimg\n            src=\"https:\u002F\u002Fimg.shields.io\u002Fdiscord\u002F1125797687476887563?style=plastic&labelColor=1f1f1f&logo=discord&logoColor=ff371a&label=Discord&color=ff371a\"\n            height=\"20px\"\n            alt=\"Discord support\"\n        >\u003C\u002Fa>\n\u003C\u002Fdiv>\n\u003Ch1 align=\"center\">\n    Build Python Data & AI web applications\n\u003C\u002Fh1>\n\n\u003Cdiv align=\"center\">\nFrom simple pilots to production-ready web applications in no time. \u003Cbr \u002F>\nNo more compromises on performance, customization, and scalability.\n\u003C\u002Fdiv>\n\n\u003Cbr \u002F>\n\n\u003Cdiv align=\"center\">\n     \u003Cstrong> Go beyond existing libraries  \u003C\u002Fstrong>\n\u003C\u002Fdiv>\n\n  ## Table of Contents\n\n- [Taipy? What for?](#-what-for)\n- [Taipy and its ecosystem](#-taipy-and-taipy-ecosystem)\n- [Quickstart](#-quickstart)\n- [Documentation and resources](#-documentation-and-resources)\n- [Contributing](#-contributing)\n- [Code of Conduct](#-code-of-conduct)\n- [License](#-license)\n\n## ⭐ What for?\n\nTaipy is designed for data scientists and machine learning engineers to create\ndata & AI driven web applications.\n\n⭐️ Enables building production-ready web applications.\u003Cbr\u002F>\n⭐️ No need to learn new languages; only Python is needed.\u003Cbr\u002F>\n⭐️ Focus on data and AI algorithms. Delegates development complexities to Taipy.\u003Cbr\u002F>\n⭐️ Simplifies production operations (hosting, deployments, maintenance, etc.).\u003Cbr\u002F>\n\n## ✨ Taipy and Taipy Ecosystem\n\nTaipy includes the Taipy Python library enabling developers to easily empower their end-users with:\n- User interface generation\n- Data Integration\n- Pipeline orchestration\n- What-if analysis and scenario management\n- Authentication, roles and user management\n- Cron jobs and scheduling\n\nBesides the Taipy Library, the Taipy Ecosystem includes:\n- Taipy Designer\n- Taipy Studio\n- Predefined templates\n- Data platform integration\n\nTaipy comes with a set of materials to facilitate production operations and maintenance.\n- Command line interface.\n- Deployment scripts.\n- Version Management.\n- Data migration.\n- Telemetry and monitoring.\n\n## ⏩ Quickstart\n\nTo install the stable release of Taipy, run:\n\n```bash\npip install taipy\n```\n\nFor alternative installation methods, an\n[Installation Guide](https:\u002F\u002Fdocs.taipy.io\u002Fen\u002Flatest\u002Ftutorials\u002Fgetting_started\u002Finstallation\u002F)\nprovides step-by-step instructions.\u003Cbr>\n\n## 💡 Documentation and resources\n\nA comprehensive documentation set is available at\n[Taipy Documentation](https:\u002F\u002Fdocs.taipy.io\u002Fen\u002Flatest\u002F) to help you with Taipy tools.\n\nIt includes\n[Tutorials](https:\u002F\u002Fdocs.taipy.io\u002Fen\u002Flatest\u002Ftutorials\u002F),\n[user manuals](https:\u002F\u002Fdocs.taipy.io\u002Fen\u002Flatest\u002Fuserman\u002F),\n[API references](https:\u002F\u002Fdocs.taipy.io\u002Fen\u002Flatest\u002Frefmans\u002F), and\n[Galleries](https:\u002F\u002Fdocs.taipy.io\u002Fen\u002Flatest\u002Fgallery\u002F).\n\n## ⚒️ Contributing \u003Ca id=\"-contributing\">\u003C\u002Fa>\n\nWant to help build Taipy? Check out our [**Contributing Guide**](https:\u002F\u002Fgithub.com\u002FAvaiga\u002Ftaipy\u002Fblob\u002Fdevelop\u002FCONTRIBUTING.md).\n\n## 🪄 Code of Conduct\n\nWant to be part of the Taipy community? Check out our [**Code of Conduct**](https:\u002F\u002Fgithub.com\u002FAvaiga\u002Ftaipy\u002Fblob\u002Fdevelop\u002FCODE_OF_CONDUCT.md)\n\n## 🪪 License\n\nCopyright 2021-2025 Avaiga Private Limited\n\nLicensed under the Apache License, Version 2.0 (the \"License\"); you may not use this file except in compliance with\nthe License. You may obtain a copy of the License at\n[Apache License](https:\u002F\u002Fwww.apache.org\u002Flicenses\u002FLICENSE-2.0.txt)\n\nUnless required by applicable law or agreed to in writing, software distributed under the License is distributed on\nan \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the\nspecific language governing permissions and limitations under the License.\n","Taipy 是一个用于快速将数据和AI算法转换为生产就绪的Web应用程序的Python库。其核心功能包括自动化数据处理、工作流编排、模型训练与部署等，并支持通过直观的GUI进行交互式的数据可视化和场景分析。该工具特别适用于需要高效整合数据工程与机器学习流程，同时追求高度定制化和扩展性的项目环境。基于Apache License 2.0开源许可，Taipy 支持Python 3.9及以上版本，适合数据科学家及开发人员使用以加速从概念验证到实际应用的过程。",2,"2026-06-11 02:50:12","top_language"]