# marketcalls/openalgo SLOC report

> As of 2026-10-23 (commit 91ced6f7772a), marketcalls/openalgo contains 731,752 total lines: 570,665 code, 79,302 comments, 81,785 blank, across 2,238 files in 17 languages (top: Python 60.9%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

marketcalls/openalgo has 570,665 source lines of code out of 731,752 total lines across 2,238 files, counted from the main ref at commit 91ced6f7772a by the OctoCounts tokei engine on 2026-10-23. 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 marketcalls/openalgo to commit 91ced6f7772a, 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 10.8%, and the repository averages 255 code lines per file. Python accounts for 60.9% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 1,172 | 450,824 | 347,758 | 41,816 | 61,250 |
| TSX | 469 | 153,528 | 131,492 | 12,259 | 9,777 |
| TypeScript | 367 | 84,184 | 62,054 | 15,143 | 6,987 |
| JSON | 49 | 17,251 | 17,249 | 0 | 2 |
| Shell | 12 | 9,146 | 6,609 | 1,457 | 1,080 |
| Protocol Buffers | 3 | 2,124 | 1,876 | 43 | 205 |
| JavaScript | 9 | 1,324 | 1,099 | 179 | 46 |
| CSS | 1 | 1,221 | 998 | 122 | 101 |
| Batch | 3 | 1,063 | 815 | 136 | 112 |
| Jupyter Notebooks | 5 | 384 | 297 | 41 | 46 |
| TOML | 1 | 266 | 224 | 35 | 7 |
| HTML | 2 | 79 | 77 | 0 | 2 |

Top language (Python 60.9%). Generated at 2026-10-23T08:48:49.065207348+00:00. Canonical report: https://octocounts.com/github/marketcalls/openalgo

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/marketcalls/openalgo/commit/91ced6f7772a5f4a2bf8d0d0613522240a6fa636?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&reportId=5bf7f299d07c48573c4ad63bbbe213af05f0eb0a4ad4117f7f19ff5878ceb208).

## Report FAQ

### How many lines of code does marketcalls/openalgo have?

marketcalls/openalgo has 731,752 total lines, including 570,665 code lines, 79,302 comment lines, and 81,785 blank lines.

### How was the marketcalls/openalgo line count measured?

OctoCounts resolved the public GitHub repository to commit 91ced6f7772a, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for marketcalls/openalgo?

This OctoCounts report was generated from main at commit 91ced6f7772a on 2026-10-23T08:48:49.065207348+00:00.

## Similar repository reports

- [lightseekorg/tokenspeed](https://octocounts.com/github/lightseekorg/tokenspeed) — Python, 583,763 code lines
- [HKUDS/DeepTutor](https://octocounts.com/github/HKUDS/DeepTutor) — Python, 557,726 code lines
- [modelscope/FunASR](https://octocounts.com/github/modelscope/FunASR) — Python, 537,471 code lines
- [scipy/scipy](https://octocounts.com/github/scipy/scipy) — Python, 536,071 code lines
- [FuRongJun-1999/dsh-memory](https://octocounts.com/github/FuRongJun-1999/dsh-memory) — Python, 531,287 code lines
- [rlaope/oh-my-hermes](https://octocounts.com/github/rlaope/oh-my-hermes) — Python, 526,664 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)