下表中的编程语言排行榜是通过分析 Google 上的搜索频率来创建的:搜索某编程语言次数越多,该语言就越受欢迎。
这种统计分析方式相比于 TIOBE 的数据,更能反应当前的编程语言流行程度。
如果你相信集体的智慧,本编程语言流行指数可以帮助你决定学习哪种编程语言,或者在新的软件项目中使用哪种编程语言。
排名 | 变化 | 编程语言 | 流行度 | 趋势 |
---|---|---|---|---|
1 | 0 | Python | 68.97% | -2.10% |
2 | 0 | Java | 14.17% | +4.82% |
3 | 1 | C/C++ | 4.99% | +0.92% |
4 | 2 | JavaScript | 3.68% | +2.33% |
5 | -2 | R | 2.72% | -2.14% |
6 | 8 | Go | 1.36% | +1.17% |
7 | 2 | Rust | 1.29% | +0.71% |
8 | -3 | C# | 0.78% | -3.27% |
9 | 3 | TypeScript | 0.41% | +0.12% |
10 | 0 | Objective-C | 0.40% | -0.11% |
11 | 0 | Swift | 0.33% | -0.12% |
12 | 4 | PHP | 0.20% | +0.01% |
13 | 2 | Kotlin | 0.15% | -0.04% |
14 | 3 | Matlab | 0.13% | -0.03% |
15 | 3 | Powershell | 0.13% | +0.00% |
16 | -3 | Lua | 0.10% | -0.12% |
17 | 2 | VBA | 0.08% | -0.02% |
18 | -10 | Ruby | 0.08% | -0.85% |
19 | 6 | Scala | 0.05% | +0.05% |
20 | 0 | Visual Basic | 0.00% | +0.00% |
21 | 3 | Abap | 0.00% | +0.00% |
22 | 0 | Zig | 0.00% | +0.00% |
23 | 3 | Perl | 0.00% | +0.00% |
24 | -4 | Julia | 0.00% | -0.06% |
25 | 2 | Haskell | 0.00% | +0.00% |
26 | -19 | Groovy | 0.00% | -1.21% |
27 | 1 | Delphi/Pascal | 0.00% | +0.00% |
28 | -7 | Dart | 0.00% | -0.03% |