Scautable: One line CSV import and dataframe utilities based on scala's NamedTuple.

docs

• Strongly typed compile-time CSV
• pretty printing to console for Product types
• Auto-magically generate html tables from case classes
• Searchable, sortable browser GUI for your tables

One line CSV import.

import io.github.quafadas.table.*

val csv : CsvIterator[("col1", "col2", "col3"), (Int, Int, Int)] = CSV.resource("simple.csv", TypeInferrer.FromAllRows)
val  data = LazyList.from(csv).take(2)

data.ptbln
// | |col1|col2|col3|
// +-+----+----+----+
// |0|   1|   2|   7|
// |1|   3|   4|   8|
// +-+----+----+----+

Idea yes. Getting to a one line, strongly typed CSV import ala Pandas has got to be a good idea.

The implementation is somewhat metaprogamming / .asInstanceOf heavy, so the execution is what it is.

So unclear. One of it's purposes is to push the boundary of metaprogramming knowledge. If you use this, it exposes you to the very real risk of the reality that this is an educational project I run on my own time.

A combination of match types and a macro which infers the types / headers at compile time.