Question 1

How do I use csvtomd to process multiple CSV files at once?

Accepted Answer

You can run `csvtomd file1.csv file2.csv` in the command line to generate separate Markdown tables for each file, with optional filename display. This is useful for batch documentation updates, as shown in the README examples.

Question 2

Is csvtomd better than online tools like Tables Generator for batch jobs?

Accepted Answer

csvtomd excels in batch processing from the command line without manual uploads, making it faster for automation. However, online tools might offer more formatting options and real-time previews, so choose based on workflow needs.

Question 3

How to adjust the spacing in csvtomd output tables?

Accepted Answer

Use the `--padding` flag, e.g., `csvtomd --padding 0 file.csv` to remove spaces or set a custom value. This controls the space between cells and dividers for cleaner Markdown, as detailed in the usage section.

Question 4

Can csvtomd handle CSV files with semicolons instead of commas?

Accepted Answer

Yes, it supports semicolon delimiters via the `--delimiter ;` option, allowing conversion of European-style CSV files. The README confirms this flexibility for common delimiter variations.

Question 5

Is csvtomd still maintained or should I use an alternative?

Accepted Answer

The Python version is discontinued, so for new projects, consider the developer's JS projects or other active tools. If you need a simple, legacy solution, it works but lacks updates and support.

Question 6

How to install csvtomd on a system without Python 3 pre-installed?

Accepted Answer

First install Python 3, then use `pip3 install csvtomd` as per the README. Since it has no dependencies, it should run on any platform with Python 3, but verify compatibility with your environment.

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