# microsoft/autogen SLOC report

> As of 2026-09-18 (commit 13e144e5476a), microsoft/autogen contains 142,873 total lines: 111,392 code, 13,112 comments, 18,369 blank, across 1,229 files in 21 languages (top: Python 51.0%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

microsoft/autogen has 111,392 source lines of code out of 142,873 total lines across 1,229 files, counted from the 13e144e5476a76ca0d76bf4f07a6401d133a03ed ref at commit 13e144e5476a by the OctoCounts tokei engine on 2026-09-18. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.

OctoCounts produced this report by resolving microsoft/autogen to commit 13e144e5476a, 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 large codebase by counted code lines. Code represents 78.0% of all lines, comments represent 9.2%, and the repository averages 91 code lines per file. Python accounts for 51.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 425 | 69,036 | 56,756 | 3,001 | 9,279 |
| C# | 391 | 31,478 | 22,262 | 4,878 | 4,338 |
| TSX | 96 | 23,408 | 20,943 | 712 | 1,753 |
| TypeScript | 29 | 4,528 | 3,794 | 238 | 496 |
| JSON | 26 | 2,016 | 2,008 | 0 | 8 |
| Shell | 4 | 1,919 | 1,460 | 203 | 256 |
| MSBuild | 48 | 1,361 | 1,137 | 25 | 199 |
| TOML | 13 | 890 | 746 | 5 | 139 |
| YAML | 35 | 959 | 516 | 351 | 92 |
| Visual Studio Solution | 1 | 465 | 464 | 0 | 1 |
| JavaScript | 5 | 506 | 432 | 17 | 57 |
| CSS | 2 | 422 | 330 | 48 | 44 |

Top language (Python 51.0%). Generated at 2026-09-18T07:32:05.337836727+00:00. Canonical report: https://octocounts.com/github/microsoft/autogen

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/microsoft/autogen/commit/13e144e5476a76ca0d76bf4f07a6401d133a03ed?analysis=%7B%22ignoredDirs%22%3A%5B%5D%2C%22ignoredLanguages%22%3A%5B%5D%2C%22profile%22%3A%22default%22%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does microsoft/autogen have?

microsoft/autogen has 142,873 total lines, including 111,392 code lines, 13,112 comment lines, and 18,369 blank lines.

### How was the microsoft/autogen line count measured?

OctoCounts resolved the public GitHub repository to commit 13e144e5476a, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for microsoft/autogen?

This OctoCounts report was generated from 13e144e5476a76ca0d76bf4f07a6401d133a03ed at commit 13e144e5476a on 2026-09-18T07:32:05.337836727+00:00.

## Similar repository reports

- [google/artemis](https://octocounts.com/github/google/artemis) — Python, 113,299 code lines
- [SanAntonio021/agents-skills](https://octocounts.com/github/SanAntonio021/agents-skills) — Python, 114,897 code lines
- [FlagOpen/FlagEmbedding](https://octocounts.com/github/FlagOpen/FlagEmbedding) — Python, 115,659 code lines
- [verl-project/verl](https://octocounts.com/github/verl-project/verl) — Python, 116,346 code lines
- [SenteLabsAI/OpenExecutive](https://octocounts.com/github/SenteLabsAI/OpenExecutive) — Python, 102,253 code lines
- [pypa/pip](https://octocounts.com/github/pypa/pip) — Python, 120,992 code lines

## Related OctoCounts pages

- [Recently analyzed repositories](https://octocounts.com/recent)
- [Popular SLOC reports](https://octocounts.com/popular)
- [Trending GitHub repositories](https://octocounts.com/trending)
- [Hall of Monoliths](https://octocounts.com/hall-of-monoliths)
- [TensorFlow vs PyTorch](https://octocounts.com/compare/tensorflow-vs-pytorch)
- [Django vs Ruby on Rails](https://octocounts.com/compare/django-vs-rails)
- [Laravel vs Django](https://octocounts.com/compare/laravel-vs-django)
- [GitHub SLOC counter guide](https://octocounts.com/docs/github-sloc-counter)
- [Counting methodology](https://octocounts.com/docs/methodology)
- [SLOC and code metrics glossary](https://octocounts.com/docs/glossary)
- [Original research: how filtering changes SLOC counts](https://octocounts.com/research)
- [OctoCounts API docs](https://octocounts.com/docs/api)