[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-2349":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":9,"archived":21,"fork":21,"defaultBranch":22,"hasWiki":23,"hasPages":21,"topics":24,"createdAt":9,"pushedAt":9,"updatedAt":33,"readmeContent":34,"aiSummary":35,"trendingCount":15,"starSnapshotCount":15,"syncStatus":36,"lastSyncTime":37,"discoverSource":38},2349,"matplotlib","matplotlib\u002Fmatplotlib","matplotlib: plotting with Python","https:\u002F\u002Fmatplotlib.org\u002Fstable\u002F",null,"Python",22877,8351,576,1054,0,4,17,98,12,45,false,"main",true,[25,26,27,5,28,29,30,31,32],"data-science","data-visualization","gtk","plotting","python","qt","tk","wx","2026-06-12 02:00:40","[![PyPi](https:\u002F\u002Fimg.shields.io\u002Fpypi\u002Fv\u002Fmatplotlib)](https:\u002F\u002Fpypi.org\u002Fproject\u002Fmatplotlib\u002F)\n[![Conda](https:\u002F\u002Fimg.shields.io\u002Fconda\u002Fvn\u002Fconda-forge\u002Fmatplotlib)](https:\u002F\u002Fanaconda.org\u002Fconda-forge\u002Fmatplotlib)\n[![Downloads](https:\u002F\u002Fimg.shields.io\u002Fpypi\u002Fdm\u002Fmatplotlib)](https:\u002F\u002Fpypi.org\u002Fproject\u002Fmatplotlib)\n[![NUMFocus](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fpowered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A)](https:\u002F\u002Fnumfocus.org)\n[![LFX Health Score](https:\u002F\u002Finsights.linuxfoundation.org\u002Fapi\u002Fbadge\u002Fhealth-score?project=matplotlib)](https:\u002F\u002Finsights.linuxfoundation.org\u002Fproject\u002Fmatplotlib)\n\n[![Discourse help forum](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fhelp_forum-discourse-blue.svg)](https:\u002F\u002Fdiscourse.matplotlib.org)\n[![Discourse chat](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fchat-discourse-mediumaquamarine)](https:\u002F\u002Fdiscourse.matplotlib.org\u002Fchat\u002Fc\u002Fmatplotlib\u002F2)\n[![GitHub issues](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fissue_tracking-github-blue.svg)](https:\u002F\u002Fgithub.com\u002Fmatplotlib\u002Fmatplotlib\u002Fissues)\n[![Contributing](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FPR-Welcome-%23FF8300.svg?)](https:\u002F\u002Fmatplotlib.org\u002Fstable\u002Fdevel\u002Findex.html)\n\n[![GitHub actions status](https:\u002F\u002Fgithub.com\u002Fmatplotlib\u002Fmatplotlib\u002Fworkflows\u002FTests\u002Fbadge.svg)](https:\u002F\u002Fgithub.com\u002Fmatplotlib\u002Fmatplotlib\u002Factions?query=workflow%3ATests)\n[![Azure pipelines status](https:\u002F\u002Fdev.azure.com\u002Fmatplotlib\u002Fmatplotlib\u002F_apis\u002Fbuild\u002Fstatus\u002Fmatplotlib.matplotlib?branchName=main)](https:\u002F\u002Fdev.azure.com\u002Fmatplotlib\u002Fmatplotlib\u002F_build\u002Flatest?definitionId=1&branchName=main)\n[![AppVeyor status](https:\u002F\u002Fci.appveyor.com\u002Fapi\u002Fprojects\u002Fstatus\u002Fgithub\u002Fmatplotlib\u002Fmatplotlib?branch=main&svg=true)](https:\u002F\u002Fci.appveyor.com\u002Fproject\u002Fmatplotlib\u002Fmatplotlib)\n[![Codecov status](https:\u002F\u002Fcodecov.io\u002Fgithub\u002Fmatplotlib\u002Fmatplotlib\u002Fbadge.svg?branch=main&service=github)](https:\u002F\u002Fapp.codecov.io\u002Fgh\u002Fmatplotlib\u002Fmatplotlib)\n[![EffVer Versioning](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fversion_scheme-EffVer-0097a7)](https:\u002F\u002Fjacobtomlinson.dev\u002Feffver)\n\n![Matplotlib logotype](https:\u002F\u002Fmatplotlib.org\u002Fstable\u002F_static\u002Flogo2.svg)\n\nMatplotlib is a comprehensive library for creating static, animated, and\ninteractive visualizations in Python.\n\nCheck out our [home page](https:\u002F\u002Fmatplotlib.org\u002F) for more information.\n\n![image](https:\u002F\u002Fmatplotlib.org\u002Fstable\u002F_static\u002Freadme_preview.png)\n\nMatplotlib produces publication-quality figures in a variety of hardcopy\nformats and interactive environments across platforms. Matplotlib can be\nused in Python scripts, Python\u002FIPython shells, web application servers,\nand various graphical user interface toolkits.\n\n## Install\n\nSee the [install\ndocumentation](https:\u002F\u002Fmatplotlib.org\u002Fstable\u002Fusers\u002Finstalling\u002Findex.html),\nwhich is generated from `\u002Fdoc\u002Finstall\u002Findex.rst`\n\n## Contribute\n\nYou've discovered a bug or something else you want to change — excellent!\n\nYou've worked out a way to fix it — even better!\n\nYou want to tell us about it — best of all!\n\nStart at the [contributing\nguide](https:\u002F\u002Fmatplotlib.org\u002Fdevdocs\u002Fdevel\u002Fcontribute.html)!\n\n## Contact\n\n[Discourse](https:\u002F\u002Fdiscourse.matplotlib.org\u002F) is the discussion forum\nfor general questions and discussions and our recommended starting\npoint.\n\nOur active mailing lists (which are mirrored on Discourse) are:\n\n-   [Users](https:\u002F\u002Fmail.python.org\u002Fmailman\u002Flistinfo\u002Fmatplotlib-users)\n    mailing list: \u003Cmatplotlib-users@python.org>\n-   [Announcement](https:\u002F\u002Fmail.python.org\u002Fmailman\u002Flistinfo\u002Fmatplotlib-announce)\n    mailing list: \u003Cmatplotlib-announce@python.org>\n-   [Development](https:\u002F\u002Fmail.python.org\u002Fmailman\u002Flistinfo\u002Fmatplotlib-devel)\n    mailing list: \u003Cmatplotlib-devel@python.org>\n\n[Discourse Chat](https:\u002F\u002Fdiscourse.matplotlib.org\u002Fchat\u002Fc\u002Fmatplotlib\u002F2) is for\ncoordinating development and asking questions directly related to contributing\nto matplotlib.\n\n## Citing Matplotlib\n\nIf Matplotlib contributes to a project that leads to publication, please\nacknowledge this by citing Matplotlib.\n\n[A ready-made citation\nentry](https:\u002F\u002Fmatplotlib.org\u002Fstable\u002Fusers\u002Fproject\u002Fciting.html) is\navailable.\n","Matplotlib 是一个用于在 Python 中创建静态、动画和交互式可视化的全面库。其核心功能包括生成高质量的图表，并支持多种硬拷贝格式和跨平台的交互环境。它利用 Python 脚本、IPython shell、Web 应用服务器以及各种图形用户界面工具包来实现可视化需求。特别适合数据科学家、研究人员或任何需要通过可视化手段探索或展示数据的人士使用。",2,"2026-06-11 02:49:36","top_language"]