mlc-ai/mlc-llm
mlc-ai/mlc-llm has 79,941 source lines of code out of 97,413 total lines across 549 files, counted from the main ref at commit 8978ea9aec62 by the OctoCounts tokei engine on 2026-10-12. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.
As of 2026-10-12 (commit 8978ea9aec62), mlc-ai/mlc-llm contains 97,413 total lines: 79,941 code, 6,995 comments, 10,477 blank, across 549 files in 24 languages (top: Python 69.4%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving mlc-ai/mlc-llm to commit 8978ea9aec62, 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.
Repository size insights
This is a medium-sized codebase by counted code lines. Code represents 82.1% of all lines, comments represent 7.2%, and the repository averages 146 code lines per file. Python accounts for 69.4% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 346 | 63837 | 55509 | 1455 | 6873 |
| C++ | 43 | 16928 | 13174 | 2234 | 1520 |
| C Header | 41 | 5746 | 2850 | 2087 | 809 |
| Kotlin | 14 | 2493 | 2237 | 46 | 210 |
| SVG | 7 | 2038 | 2038 | 0 | 0 |
| Swift | 18 | 2296 | 1871 | 165 | 260 |
| Shell | 13 | 824 | 607 | 118 | 99 |
| CMake | 2 | 308 | 253 | 11 | 44 |
| JSON | 14 | 251 | 251 | 0 | 0 |
| Sass | 1 | 238 | 200 | 1 | 37 |
| XML | 17 | 221 | 160 | 48 | 13 |
| Batch | 3 | 192 | 143 | 3 | 46 |
Top language (Python 69.4%). Generated at .
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Report FAQ
How many lines of code does mlc-ai/mlc-llm have?
mlc-ai/mlc-llm has 97,413 total lines, including 79,941 code lines, 6,995 comment lines, and 10,477 blank lines.
How was the mlc-ai/mlc-llm line count measured?
OctoCounts resolved the public GitHub repository to commit 8978ea9aec62, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
What commit was counted for mlc-ai/mlc-llm?
This OctoCounts report was generated from main at commit 8978ea9aec62 on 2026-10-12T16:24:58.051408637+00:00.
Similar repository reports
Other public repositories with an OctoCounts report, ranked by top language and code size similarity:
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- swat-model/swatplus-editor — Python, 80,731 code lines
- e2b-dev/e2b — Python, 81,298 code lines
- michaelegner/architecture-intelligence-platform — Python, 81,575 code lines
- langchain-ai/langgraph — Python, 81,770 code lines
Play the growth animation for mlc-ai/mlc-llm on this page — 79,941 code lines across 12 languages, counted by tokei.