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 | 51.05% | -13.13% |
| 2 | 0 | Java | 13.48% | +1.99% |
| 3 | 0 | Objective-C | 10.67% | +4.89% |
| 4 | 0 | C/C++ | 8.90% | +3.90% |
| 5 | 0 | R | 4.45% | +1.34% |
| 6 | 0 | JavaScript | 3.48% | +0.47% |
| 7 | 0 | C# | 1.90% | -0.03% |
| 8 | 13 | Go | 1.63% | +1.60% |
| 9 | 3 | Rust | 1.34% | +0.95% |
| 10 | 1 | Swift | 1.05% | +0.40% |
| 11 | 2 | PHP | 0.57% | +0.20% |
| 12 | 3 | Ada | 0.40% | +0.17% |
| 13 | 3 | Matlab | 0.32% | +0.23% |
| 14 | 4 | VBA | 0.17% | +0.10% |
| 15 | -1 | TypeScript | 0.17% | -0.15% |
| 16 | -7 | Kotlin | 0.16% | -1.07% |
| 17 | 0 | Powershell | 0.07% | +0.00% |
| 18 | -8 | Dart | 0.05% | -0.66% |
| 19 | 1 | Lua | 0.02% | -0.01% |
| 20 | 0 | Zig | 0.02% | +0.00% |
| 21 | 3 | Haskell | 0.02% | +0.02% |
| 22 | 1 | Julia | 0.02% | +0.02% |
| 23 | -4 | Abap | 0.02% | -0.03% |
| 24 | 1 | Groovy | 0.00% | +0.00% |
| 25 | 2 | Delphi/Pascal | 0.00% | +0.00% |
| 26 | -18 | Ruby | 0.00% | -1.24% |
| 27 | -5 | Perl | 0.00% | +0.00% |
| 28 | -2 | Scala | 0.00% | +0.00% |