[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-2568":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":22,"hasPages":22,"topics":24,"createdAt":10,"pushedAt":10,"updatedAt":38,"readmeContent":39,"aiSummary":40,"trendingCount":16,"starSnapshotCount":16,"syncStatus":41,"lastSyncTime":42,"discoverSource":43},2568,"plotly.py","plotly\u002Fplotly.py","plotly","The interactive graphing library for Python :sparkles:","https:\u002F\u002Fplotly.com\u002Fpython\u002F",null,"Python",18595,2808,273,719,0,19,86,5,88.1,"MIT License",false,"main",[25,26,27,28,29,30,7,31,32,33,34,35,36,37],"d3","dashboard","declarative","graph-library","interactive","jupyter-notebook","plotly-dash","plotlyjs","python","regl","sparkles","visualization","webgl","2026-06-12 04:00:14","# plotly.py\n\n\u003Ctable>\n    \u003Ctr>\n        \u003Ctd>Latest Release\u003C\u002Ftd>\n        \u003Ctd>\n            \u003Ca href=\"https:\u002F\u002Fpypi.org\u002Fproject\u002Fplotly\u002F\"\u002F>\n            \u003Cimg src=\"https:\u002F\u002Fbadge.fury.io\u002Fpy\u002Fplotly.svg\"\u002F>\n        \u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n        \u003Ctd>User forum\u003C\u002Ftd>\n        \u003Ctd>\n            \u003Ca href=\"https:\u002F\u002Fcommunity.plotly.com\u002F\"\u002F>\n            \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fhelp_forum-discourse-blue.svg\"\u002F>\n        \u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n        \u003Ctd>PyPI Downloads\u003C\u002Ftd>\n        \u003Ctd>\n            \u003Ca href=\"https:\u002F\u002Fpepy.tech\u002Fproject\u002Fplotly\"\u002F>\n            \u003Cimg src=\"https:\u002F\u002Fpepy.tech\u002Fbadge\u002Fplotly\u002Fmonth\"\u002F>\n        \u003C\u002Ftd>\n    \u003C\u002Ftr>\n    \u003Ctr>\n        \u003Ctd>License\u003C\u002Ftd>\n        \u003Ctd>\n            \u003Ca href=\"https:\u002F\u002Fopensource.org\u002Flicenses\u002FMIT\"\u002F>\n            \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-MIT-yellow.svg\"\u002F>\n        \u003C\u002Ftd>\n    \u003C\u002Ftr>\n\u003C\u002Ftable>\n\n\u003Cdiv align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fdash.plotly.com\u002Fproject-maintenance\">\n    \u003Cimg src=\"https:\u002F\u002Fdash.plotly.com\u002Fassets\u002Fimages\u002Fmaintained-by-plotly.png\" width=\"400px\" alt=\"Maintained by Plotly\">\n  \u003C\u002Fa>\n\u003C\u002Fdiv>\n\n## Quickstart\n\n`pip install plotly`\n\n```python\nimport plotly.express as px\nfig = px.bar(x=[\"a\", \"b\", \"c\"], y=[1, 3, 2])\nfig.show()\n```\n\nSee the [Python documentation](https:\u002F\u002Fplotly.com\u002Fpython\u002F) for more examples.\n\n## Overview\n\n[plotly.py](https:\u002F\u002Fplotly.com\u002Fpython\u002F) is an interactive, open-source, and browser-based graphing library for Python :sparkles:\n\nBuilt on top of [plotly.js](https:\u002F\u002Fgithub.com\u002Fplotly\u002Fplotly.js), `plotly.py` is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more.\n\n`plotly.py` is [MIT Licensed](https:\u002F\u002Fgithub.com\u002Fplotly\u002Fplotly.py\u002Fblob\u002Fmain\u002FLICENSE.txt). Plotly graphs can be viewed in [Jupyter notebooks](https:\u002F\u002Fjupyter.org), other Python notebook software such as [marimo](https:\u002F\u002Fmarimo.io), as standalone HTML files, or integrated into [Dash applications](https:\u002F\u002Fdash.plotly.com\u002F).\n\n[Contact us](https:\u002F\u002Fplotly.com\u002Fconsulting-and-oem\u002F) for consulting, dashboard development, application integration, and feature additions.\n\n\u003Cp align=\"center\">\n    \u003Ca href=\"https:\u002F\u002Fplotly.com\u002Fpython\u002F\" target=\"_blank\">\n    \u003Cimg src=\"https:\u002F\u002Fraw.githubusercontent.com\u002Fcldougl\u002Fplot_images\u002Fadd_r_img\u002Fplotly_2017.png\">\n\u003C\u002Fa>\u003C\u002Fp>\n\n---\n\n- [Online Documentation](https:\u002F\u002Fplotly.com\u002Fpython\u002F)\n- [Contributing to plotly](https:\u002F\u002Fgithub.com\u002Fplotly\u002Fplotly.py\u002Fblob\u002Fmain\u002FCONTRIBUTING.md)\n- [Changelog](https:\u002F\u002Fgithub.com\u002Fplotly\u002Fplotly.py\u002Fblob\u002Fmain\u002FCHANGELOG.md)\n- [Code of Conduct](https:\u002F\u002Fgithub.com\u002Fplotly\u002Fplotly.py\u002Fblob\u002Fmain\u002FCODE_OF_CONDUCT.md)\n- [Community forum](https:\u002F\u002Fcommunity.plotly.com)\n\n---\n\n## Installation\n\nplotly.py may be installed using pip\n\n```\npip install plotly\n```\n\nor conda.\n\n```\nconda install -c conda-forge plotly\n```\n\n### Jupyter Widget Support\n\nFor use as a Jupyter widget, install `jupyter` and `anywidget`\npackages using `pip`:\n\n```\npip install jupyter anywidget\n```\n\nor `conda`:\n\n```\nconda install jupyter anywidget\n```\n\n### Static Image Export\n\nplotly.py supports [static image export](https:\u002F\u002Fplotly.com\u002Fpython\u002Fstatic-image-export\u002F),\nusing either the [`kaleido`](https:\u002F\u002Fgithub.com\u002Fplotly\u002FKaleido)\npackage (recommended, supported as of `plotly` version 4.9) or the [orca](https:\u002F\u002Fgithub.com\u002Fplotly\u002Forca)\ncommand line utility (legacy as of `plotly` version 4.9).\n\n#### Kaleido\n\nThe [`kaleido`](https:\u002F\u002Fgithub.com\u002Fplotly\u002FKaleido) package has no dependencies and can be installed\nusing pip\n\n```\npip install -U kaleido\n```\n\nor conda\n\n```\nconda install -c conda-forge python-kaleido\n```\n\n### Extended Geo Support\n\nSome plotly.py features rely on fairly large geographic shape files. The county\nchoropleth figure factory is one such example. These shape files are distributed as a\nseparate `plotly-geo` package. This package can be installed using pip...\n\n```\npip install plotly-geo==1.0.0\n```\n\nor conda\n\n```\nconda install -c plotly plotly-geo=1.0.0\n```\n\n`plotly-geo` can be found on Github at https:\u002F\u002Fgithub.com\u002Fplotly\u002Fplotly-geo.\n\n## Copyright and Licenses\n\nCode and documentation copyright 2019 Plotly, Inc.\n\nCode released under the [MIT license](https:\u002F\u002Fgithub.com\u002Fplotly\u002Fplotly.py\u002Fblob\u002Fmain\u002FLICENSE.txt).\n\nDocs released under the [Creative Commons license](https:\u002F\u002Fcreativecommons.org\u002Flicenses\u002Fby\u002F4.0\u002F).\n\n","plotly.py 是一个用于 Python 的交互式图表库。它基于 plotly.js 构建，提供超过 30 种图表类型，包括科学图表、3D 图表、统计图表、SVG 地图和金融图表等。其核心功能包括声明式绘图接口、丰富的可视化选项以及与 Jupyter Notebook 和 Dash 应用程序的无缝集成。此外，plotly.py 支持生成独立 HTML 文件或嵌入网页中，适用于数据分析、科研展示及商业智能等多种场景。该库采用 MIT 许可证，确保了广泛的使用自由度。",2,"2026-06-11 02:50:21","top_language"]