A pager for tabular data
`tass` - it's like `less`, but for tables! It can read CSV/TSV and parquet files. It looks like this:
You can see tass's schema inference in action here. The fourth and fifth
columns only contains a small number of unique values, so tass colour-codes
them automatically. The columns to the right of those are numerical, so tass
right-aligns them and shows negative values in red.
This demo shows data being piped into (an older version of) tass. You can also
open files which are still being appeanded to, and new rows will appear as the
file grows.
## Installing
If you already have rust, you can install tass like this:
```
$ cargo install tass
```
## Usage
You can pass a filename, or pipe data to stdin:
```
$ tass mydata.csv
$ cat mydata.csv | tass
```
Key | Action
--------------------------------------------------|--------------------------------------------------
Up/j, PageUp | Move up one row, page
Down/k,PageDown | Move down one row, page
Left/h | Move left one column
Right/l | Move right one column
Home, End | Move to start/end of file
number g | Move to line `$number`
f | Move to end and auto-scroll as new rows come in
/, ? | Search, reverse-search for string
n, N | Jump to next, previous match
q/Esc | Quit
## Comparison to other tools
Tool | Functionality | Filetypes | Loads whole file into memory | Streaming
---------------------------------|------------------------------------|-----------------------------|------------------------------|-----------
tass | ⭐ Viewing data, basic searching | CSV/TSV, parquet | no 😌 | ✔️
[csvlens] | ⭐ Similar to tass | CSV/TSV | no 😌 | ✔️
[VisiData] | ⭐⭐ Summary stats, plots, etc. | CSV/TSV, parquet, JSON, ... | yes 😱 | ✔️
Excel/Calc/Numbers/Google Sheets | ⭐⭐⭐ It's a spreadsheet! | CSV/TSV, xls, ods, ... | yes 😱 |
Pandas/Polars/DataFrame.jl | ⭐⭐⭐ It's a dataframe library! | CSV/TSV, parquet, ... | no 😌 |
[VisiData]: https://www.visidata.org/
[csvlens]: https://github.com/YS-L/csvlens
For manipulating data, my advice is to use a spreadsheet (for small datasets)
or dataframe library (for larger datasets). Sometimes you just want to quickly
inspect the contents of a file though, and that's what tass is for.
## Tips & tricks
Here are some more tips for working with large CSV files:
* If you want to see summary statistics but don't care about the underlying
data itself, you can still use VisiData/Excel/etc.: just downsample it first.
This will reduce the precision of your stats and plots, but not the overall
shape (probably). [xsv] has a subcommand that can do this for you.
* If you want exact answers to complex questions, use a dataframe library.
Alternatively, consider dumping your CSV into a sqlite database and working
with that instead.
* For ad-hoc computations on CSV files, take a look at [frawk] - it's
really nice.
[xsv]: https://github.com/BurntSushi/xsv
[frawk]: https://github.com/ezrosent/frawk