xpyxl 0.1.0

Create styled excel reports with declarative python.

xpyxl — Excel in Python

Compose polished spreadsheets with pure Python—no manual coordinates. You assemble rows/columns/cells; xpyxl handles layout, rendering, and styling with utility-style classes.

Core ideas

• Positionless composition: Build sheets declaratively from row, col, cell, table, vstack, and hstack.
• Composable styling: Tailwind-inspired utilities (typography, colors, alignment, number formats) applied via style=[...].
• Deterministic rendering: Pure-data trees compiled into .xlsx files with predictable output—ideal for tests and CI diffing.

Getting started

import xpyxl as x

report = (
    x.workbook("Sales")[
        x.sheet("Summary")[
            x.row(style=[x.text_2xl, x.bold, x.text_blue])["Q3 Sales Overview"],
            x.row(style=[x.text_sm, x.text_gray])["Region", "Units", "Price"],
            x.row(style=[x.bg_primary, x.text_white, x.bold])["EMEA", 1200, 19.0],
            x.row()["APAC", 900, 21.0],
            x.row()["AMER", 1500, 18.5],
        ]
    ]
)

report.save("report.xlsx")

Primitives

x.row(style=[x.bold, x.bg_warning])[1, 2, 3, 4, 5]
x.col(style=[x.italic])["a", "b", "c"]
x.cell(style=[x.text_green, x.number_precision])[42100]

• row[...] accepts any sequence (numbers, strings, dataclasses…)
• col[...] stacks values vertically
• cell[...] wraps a single scalar
• All primitives accept style=[...]

Component: table

x.table(...) renders a header + body with optional style overrides. Combine with vstack/hstack for dashboards and reports.

sales_table = x.table(
    header=["Region", "Units", "Price"],
    header_style=[x.text_sm, x.text_gray, x.align_middle],
    style=[x.table_bordered, x.table_compact],
)[
    ["EMEA", 1200, 19.0],
    ["APAC", 900, 21.0],
    ["AMER", 1500, 18.5],
]

layout = x.vstack(
    x.row(style=[x.text_xl, x.bold])["Q3 Sales Overview"],
    x.space(),
    x.hstack(
        sales_table,
        x.cell(style=[x.text_sm, x.text_gray])["Generated with xpyxl"],
        gap=2,
    ),
)

Utility styles (non-exhaustive)

• Typography: text_xs/_sm/_base/_lg/_xl/_2xl/_3xl, bold, italic, mono
• Text colors: text_red, text_green, text_blue, text_orange, text_purple, text_black, text_gray
• Backgrounds: bg_red, bg_primary, bg_muted, bg_success, bg_warning, bg_info
• Layout & alignment: text_left, text_center, text_right, align_top/middle/bottom, wrap
• Tables: table_bordered, table_banded, table_compact
• Number/date formats: number_comma, number_precision, percent, currency_usd, currency_eur, date_short, datetime_short, time_short

Mix and match utilities freely—what you see is what you get.

Layout helpers

• vstack(a, b, c, gap=1) vertically stacks components with optional blank rows between them.
• hstack(a, b, gap=1) arranges components side by side with configurable column gaps.
• space(rows=1, height=None) inserts empty rows (optionally with a fixed height).

Examples

• Multi-sheet sales demo: see examples/multi_sheet_sales_demo.py.
  • Run it to generate a showcase workbook:

python examples/multi_sheet_sales_demo.py

• Output: multi-sheet-sales-demo-output.xlsx with sheets Summary, Raw Data, Pipeline, and Glossary, demonstrating tables, stacks, spacing, and utility styles.

Types & ergonomics

• Modern Python with full type hints.
• Pure Python stack traces; easy to debug, script, and test.
• Deterministic rendering for stable diffs in CI.