As of 2026-07-16 (commit fb5f82e91fc7), matter-labs/zksync-era contains 451,881 total lines: 389,450 code, 18,686 comments, 43,745 blank, across 3,214 files in 20 languages (top: Rust 75.7%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving matter-labs/zksync-era to commit fb5f82e91fc7, downloading the repository source archive, and counting every source file with tokei, the open-source line counter written in Rust. The table below breaks the count down by programming language into files, total lines, code lines, comment lines, and blank lines, so the figures can be compared across languages and projects. Results are cached by commit, tokei version, and analysis options, so counting the same revision again reproduces exactly these numbers.
This is a large codebase by counted code lines. Code represents 86.2% of all lines, comments represent 4.1%, and the repository averages 121 code lines per file. Rust accounts for 75.7% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Rust | 1853 | 341831 | 294963 | 10245 | 36623 |
| JSON | 299 | 52614 | 52544 | 0 | 70 |
| Shell | 16 | 10325 | 10078 | 105 | 142 |
| TypeScript | 59 | 9532 | 8395 | 107 | 1030 |
| Zsh | 1 | 6592 | 6518 | 1 | 73 |
| TOML | 158 | 5544 | 4752 | 280 | 512 |
| SQL | 583 | 4413 | 3705 | 154 | 554 |
| Solidity | 44 | 4578 | 2935 | 941 | 702 |
| YAML | 55 | 2500 | 2367 | 59 | 74 |
| Fish | 1 | 1107 | 1101 | 3 | 3 |
| Dockerfile | 21 | 1409 | 941 | 175 | 293 |
| BASH | 14 | 820 | 588 | 95 | 137 |
Top language (Rust 75.7%). Generated at .
matter-labs/zksync-era has 451,881 total lines, including 389,450 code lines, 18,686 comment lines, and 43,745 blank lines.
OctoCounts resolved the public GitHub repository to commit fb5f82e91fc7, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
This OctoCounts report was generated from main at commit fb5f82e91fc7 on 2026-07-16T17:17:47.857813174+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: