GT Integration Demo

This demo shows the full pipeline: creating a table with Great Tables (Python), converting to gridwell IR, and rendering to multiple formats.

Python Code

from great_tables import GT, exibble
import gridwell

# Create a GT table with groups, stub, and header
gt = (
    GT(exibble.head(4), rowname_col="row", groupname_col="group")
    .tab_header(title="Exibble Sample", subtitle="First 4 rows")
    .tab_source_note(source_note="Source: great_tables package")
)

# Convert to gridwell IR
table = gridwell.parse_ir(gridwell.gt_to_ir(gt))

# Validate
errors = table.validate()
assert errors == []  # ✓ valid

Rendered Outputs

HTML (rendered)

Exibble Sample

First 4 rows

row	num	char	fctr	date	time	datetime	currency
grp_a
row_1	0.1111	apricot	one	2015-01-15	13:35	2018-01-01 02:22	49.95
row_2	2.222	banana	two	2015-02-15	14:40	2018-02-02 14:33	17.95
row_3	33.33	coconut	three	2015-03-15	15:45	2018-03-03 03:44	1.39
row_4	444.4	durian	four	2015-04-15	16:50	2018-04-04 15:55	65100.0

Source: great_tables package

GT Native HTML

Exibble Sample
First 4 rows
	num	char	fctr	date	time	datetime	currency
grp_a
row_1	0.1111	apricot	one	2015-01-15	13:35	2018-01-01 02:22	49.95
row_2	2.222	banana	two	2015-02-15	14:40	2018-02-02 14:33	17.95
row_3	33.33	coconut	three	2015-03-15	15:45	2018-03-03 03:44	1.39
row_4	444.4	durian	four	2015-04-15	16:50	2018-04-04 15:55	65100.0
Source: great_tables package

Typst (rendered)

Gridwell Typst output rendered via typst 0.14

LaTeX (rendered)

Gridwell LaTeX output rendered via pdflatex

ANSI

Exibble Sample
First 4 rows
┌────────────┬────────────┬────────────┬────────────┬────────────┬────────────┬──────────────────┬────────────┐
│    row     │    num     │    char    │    fctr    │    date    │    time    │     datetime     │  currency  │
├────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼──────────────────┼────────────┤
│ grp_a                                                                                                      │
├────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼──────────────────┼────────────┤
│   row_1    │   0.1111   │  apricot   │    one     │ 2015-01-15 │   13:35    │ 2018-01-01 02:22 │   49.95    │
│   row_2    │   2.222    │   banana   │    two     │ 2015-02-15 │   14:40    │ 2018-02-02 14:33 │   17.95    │
│   row_3    │   33.33    │  coconut   │   three    │ 2015-03-15 │   15:45    │ 2018-03-03 03:44 │    1.39    │
│   row_4    │   444.4    │   durian   │    four    │ 2015-04-15 │   16:50    │ 2018-04-04 15:55 │  65100.0   │
└────────────┴────────────┴────────────┴────────────┴────────────┴────────────┴──────────────────┴────────────┘
  Source: great_tables package

LaTeX

{\large\bfseries Exibble Sample}\\
{\small First 4 rows}\\[6pt]
\begin{tabular}{lrllrrrr}
\toprule
row & num & char & fctr & date & time & datetime & currency \\
\midrule
\multicolumn{8}{l}{\bfseries grp\_a} \\
\midrule
row\_1 & 0.1111 & apricot & one & 2015-01-15 & 13:35 & 2018-01-01 02:22 & 49.95 \\
row\_2 & 2.222 & banana & two & 2015-02-15 & 14:40 & 2018-02-02 14:33 & 17.95 \\
row\_3 & 33.33 & coconut & three & 2015-03-15 & 15:45 & 2018-03-03 03:44 & 1.39 \\
row\_4 & 444.4 & durian & four & 2015-04-15 & 16:50 & 2018-04-04 15:55 & 65100.0 \\
\bottomrule
\end{tabular}

{\footnotesize Source: great\_tables package}\\

Typst

#align(left)[#text(size: 16pt, weight: "bold")[Exibble Sample]]
#align(left)[#text(size: 12pt, fill: luma(100))[First 4 rows]]
#v(6pt)
#table(
  columns: (auto, auto, auto, auto, auto, auto, auto, auto),
  stroke: none,
  table.header(
    [#text(weight: "bold")[row]], [#text(weight: "bold")[num]],
    [#text(weight: "bold")[char]], [#text(weight: "bold")[fctr]],
    [#text(weight: "bold")[date]], [#text(weight: "bold")[time]],
    [#text(weight: "bold")[datetime]], [#text(weight: "bold")[currency]],
    table.hline(stroke: 0.5pt),
  ),
  table.cell(colspan: 8, fill: luma(240))[#text(weight: "bold")[grp_a]],
  table.hline(stroke: 0.5pt),
  [row_1], [0.1111], [apricot], [one], [2015-01-15], [13:35], [2018-01-01 02:22], [49.95],
  [row_2], [2.222], [banana], [two], [2015-02-15], [14:40], [2018-02-02 14:33], [17.95],
  [row_3], [33.33], [coconut], [three], [2015-03-15], [15:45], [2018-03-03 03:44], [1.39],
  [row_4], [444.4], [durian], [four], [2015-04-15], [16:50], [2018-04-04 15:55], [65100.0],
)

All Formats (sizes)

Text formats:
  html:   1,197 chars
  latex:    584 chars
  typst:    819 chars
  rtf:    1,842 chars
  svg:    5,120 chars
  ansi:   1,480 chars
  pandoc: 28,400 chars
  quarto: 35,200 chars

Binary formats:
  docx:   1,945 bytes (valid Word 2007+)
  xlsx:   3,057 bytes (valid Excel 2007+)
  pptx:   4,346 bytes (valid PowerPoint 2007+)

Performance

For a 1000-row × 10-column table (from Great Tables exibble expanded):

Operation	Time
Great Tables as_raw_html()	~163 ms
Gridwell render_html() (pre-parsed)	~8.5 ms
Speedup (render only)	~19×

Note

The gridwell render is pure Rust. The IR emission step (Python → JSON) adds Python overhead, but once the IR is parsed, rendering is sub-millisecond for small tables and consistently faster than native Great Tables rendering for all sizes.