stefan-jansen/machine-learning-for-trading SLOC report
As of 2026-06-02 (commit f652d79ab2f1), stefan-jansen/machine-learning-for-trading contains 69,022 total lines: 28,045 code, 36,237 comments, 4,740 blank, across 237 files in 8 languages (top: Jupyter Notebooks 89.8%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving stefan-jansen/machine-learning-for-trading to commit f652d79ab2f1, 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 40.6% of all lines, comments represent 52.5%, and the repository averages 118 code lines per file. Jupyter Notebooks accounts for 89.8% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Jupyter Notebooks | 155 | 33986 | 25179 | 6319 | 2488 |
| YAML | 5 | 1644 | 1644 | 0 | 0 |
| Python | 29 | 1553 | 1052 | 177 | 324 |
| SVG | 2 | 162 | 162 | 0 | 0 |
| Forge Config | 1 | 10 | 4 | 4 | 2 |
| Shell | 1 | 6 | 4 | 2 | 0 |
| Markdown | 39 | 5513 | 0 | 3587 | 1926 |
| Plain Text | 5 | 26148 | 0 | 26148 | 0 |
Top language (Jupyter Notebooks 89.8%). Generated at 2026-06-02T04:52:06.477168442+00:00.
Report FAQ
How many lines of code does stefan-jansen/machine-learning-for-trading have?
stefan-jansen/machine-learning-for-trading has 69,022 total lines, including 28,045 code lines, 36,237 comment lines, and 4,740 blank lines.
How was the stefan-jansen/machine-learning-for-trading line count measured?
OctoCounts resolved the public GitHub repository to commit f652d79ab2f1, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
What commit was counted for stefan-jansen/machine-learning-for-trading?
This OctoCounts report was generated from main at commit f652d79ab2f1 on 2026-06-02T04:52:06.477168442+00:00.
Similar repository reports
Other public repositories with an OctoCounts report, ranked by top language and code size similarity:
- Visualize-ML/Linear-Algebra-Made-Easy---Learn-with-Python-and-Visualization — Jupyter Notebooks, 2,738 code lines
- harvardnlp/annotated-transformer — Jupyter Notebooks, 2,511 code lines
- NousResearch/Hermes-Function-Calling — Jupyter Notebooks, 2,415 code lines
- guptashrey/Content-Moderation-for-Social-Media — Jupyter Notebooks, 2,364 code lines
- LC1332/Luotuo-Text-Embedding — Jupyter Notebooks, 1,693 code lines
- karpathy/nn-zero-to-hero — Jupyter Notebooks, 1,490 code lines