[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-5620":3},{"id":4,"name":5,"fullName":6,"owner":5,"repo":5,"description":7,"homepage":7,"htmlUrl":7,"language":8,"languages":7,"totalLinesOfCode":7,"stars":9,"forks":10,"watchers":11,"openIssues":12,"contributorsCount":13,"subscribersCount":13,"size":13,"stars1d":13,"stars7d":14,"stars30d":15,"stars90d":13,"forks30d":13,"starsTrendScore":16,"compositeScore":17,"rankGlobal":7,"rankLanguage":7,"license":18,"archived":19,"fork":19,"defaultBranch":20,"hasWiki":21,"hasPages":19,"topics":22,"createdAt":7,"pushedAt":7,"updatedAt":23,"readmeContent":24,"aiSummary":25,"trendingCount":13,"starSnapshotCount":13,"syncStatus":16,"lastSyncTime":26,"discoverSource":27},5620,"evcxr","evcxr\u002Fevcxr",null,"Rust",6433,237,51,122,0,3,18,2,38.13,"Other",false,"main",true,[],"2026-06-12 02:01:12","# Evcxr\n\n[![Binder](https:\u002F\u002Fmybinder.org\u002Fbadge_logo.svg)](https:\u002F\u002Fmybinder.org\u002Fv2\u002Fgh\u002Fevcxr\u002Fevcxr\u002Fmain?filepath=evcxr_jupyter%2Fsamples%2Fevcxr_jupyter_tour.ipynb)\n\nAn evaluation context for Rust.\n\nThis project consists of several related crates.\n\n* [evcxr\\_jupyter](evcxr_jupyter\u002FREADME.md) - A Jupyter Kernel\n\n* [evcxr\\_repl](evcxr_repl\u002FREADME.md) - A Rust REPL\n\n* [evcxr](evcxr\u002FREADME.md) - Common library shared by the above crates, may be useful for other\n  purposes.\n\n* [evcxr\\_runtime](evcxr_runtime\u002FREADME.md) - Functions and traits for interacting with Evcxr from\n  libraries that users may use from Evcxr.\n  \nIf you think you'd like a REPL, I'd definitely recommend checking out the Jupyter kernel. It's\npretty much a REPL experience, but in a web browser.\n\nTo see what it can do, it's probably best to start with a [tour of the Jupyter\nkernel](evcxr_jupyter\u002Fsamples\u002Fevcxr_jupyter_tour.ipynb). Github should allow you to preview this, or\nyou can load it from Jupyter Notebook and run it yourself.\n\n## License\n\nThis software is distributed under the terms of both the MIT license and the Apache License (Version\n2.0).\n\nSee LICENSE for details.\n","evcxr 是一个用于Rust的评估上下文项目，旨在提供一种交互式的Rust代码执行环境。它包含了多个相关的crate，其中核心功能包括一个Jupyter内核（evcxr_jupyter）和一个命令行REPL（evcxr_repl），允许用户在浏览器或终端中直接编写并运行Rust代码片段。此外，该项目还提供了共享库（evcxr）和运行时支持（evcxr_runtime），以增强其灵活性与可扩展性。evcxr特别适合于需要快速测试Rust代码片段、进行教学演示或者希望在更友好的环境中探索Rust特性的开发者使用。","2026-06-11 03:04:21","top_language"]