Preview rows from a CSV file from the command line
Inspect basic column statistics on a CSV during quick data triage
Run the unittest suite to see what the tool actually covers
Read the src/ folder as a starter scaffold for your own CSV tool
README does not document CLI flags or what the tool prints; you have to read src/main.py to find out.
csvlens-pro is a small Python project for looking at CSV files. The README describes it in one line as a CSV explorer and lightweight visualizer, and lists one feature: previewing CSV rows and column statistics. There is no further detail about what those statistics include, what the interface looks like, or how visualization is presented. To install it, you clone the repository and run pip install -r requirements.txt to pull in its Python dependencies. To start the tool, you run python src/main.py from the project directory. The README does not say what happens when you run that command, whether it opens a terminal interface or a graphical window, or how you point it at a specific CSV file. There is a test suite that can be run with python -m unittest discover, which is the standard way to find and execute Python unit tests in a project. The README does not describe what is covered by the tests. The last section of the README is a set of generic git commands for initializing a repository and pushing it to GitHub, with a placeholder for a username. These look like template instructions left in by whoever scaffolded the project rather than guidance specific to using csvlens-pro itself. Overall the README is very sparse. It tells you the project exists, that it reads CSV files, that it has some kind of preview and column statistics, and how to install and run it. It does not document command-line options, file format expectations, supported data types, output format, screenshots, or limitations. Anyone wanting to know what the tool actually does in practice would need to read the source under src/ to find out.
Generated 2026-05-22 · Model: sonnet-4-6 · Verify against the repo before relying on details.