Quick-glancing CSVs in VS Code with Rainbow CSV and Data Preview

Most CSV files are fine until they are not.

For small files, plain text is enough. But once a CSV gets wide, the whole thing turns into visual soup. You lose track of columns, horizontal scrolling gets annoying, and simple inspection starts taking more attention than it should.

I do not want to open Excel every time that happens. I also do not want a heavy workflow just to inspect one file quickly.

The setup that works best for me is simple: Rainbow CSV for the raw text view, and Data Preview for the moment raw text stops being pleasant. That combination covers most quick-glance cases without turning CSV inspection into a separate toolchain.

Rainbow CSV is the fastest upgrade

If you only install one CSV extension, Rainbow CSV is a strong first pick.

Its value is immediate readability. Once each column has a visual identity, long rows become much easier to scan. You spend less time counting commas and less time guessing whether a value slipped into the next field. It also gives you useful extras like separator autodetection, alignment, column tracking, and RBQL queries.

What I like most is that it still feels like an editor workflow. You stay in the file and read the CSV as text, just with much less friction.

Rainbow CSV colorizing columns in a wide CSV file inside VS Code

For many files, that is enough.

Data Preview is the right second step

Some files stop being worth reading as text. That is where Data Preview becomes useful.

It gives you a grid-style view inside VS Code, which is usually the right move once a CSV gets wide enough. Instead of mentally mapping comma-separated values to invisible columns, you get a proper table with sorting, filtering, and summary tools built in.

Data Preview showing a CSV file in a grid view inside VS Code

This is what I open when I need to answer questions like which rows match a value, whether a column looks wrong, or whether the data shape is what I expected. At that point, a table is simply a better fit than raw text.

Data Preview showing chart and grid views inside VS Code

The workflow

The workflow is simple. Open the CSV normally, use Rainbow CSV to get a fast first pass, then switch to Data Preview if the file is too wide, too dense, or too analysis-heavy. I do not always need a table, but I often need a better first glance than plain CSV gives me.

Alternatives worth knowing

Edit CSV is closer to a spreadsheet editing experience inside VS Code. Data Wrangler is stronger if you are doing heavier cleaning and transformation work.

Both are good. I just would not lead with them for quick inspection. For that, Rainbow CSV plus Data Preview feels lighter and more direct.

Recommendation

If your problem is “I want to glance at CSV files in VS Code without suffering,” install both.

Use Rainbow CSV as the default layer that makes text readable. Use Data Preview when the file grows past what text should reasonably handle. That gives you a lightweight setup that stays inside VS Code and covers most day-to-day inspection work.