Crate wolfxl_core 

wolfxl-core: pure-Rust spreadsheet reader with Excel number-format-aware rendering.

This crate carries no PyO3 / Python coupling. It opens spreadsheets via [calamine-styles] for xlsx / xls / xlsb / ods and a built-in reader for CSV, exposes a Workbook → Sheet → Cell API, and renders cell values with awareness of common Excel number formats (currency, percentage, scientific, date, time).

use wolfxl_core::Workbook;

let mut wb = Workbook::open("examples/sample-financials.xlsx")?;
let sheet = wb.first_sheet()?;
let (rows, cols) = sheet.dimensions();
println!("{} rows × {} columns", rows, cols);

Scope

• In scope today: read xlsx / xls / xlsb / ods / csv values + best-effort number-format strings (xlsx only — calamine leaves xls/xlsb/ods style ranges empty and CSV has no style concept), classify formats into FormatCategory, render via format_cell, map workbook structure, infer per-column schema/cardinality summaries (reads through numeric-looking strings so CSV columns classify correctly), and walk xl/styles.xml cellXfs + numFmts as a fallback when calamine’s fast path returns None (covers openpyxl-generated fixtures).
• Not yet: write side.

The existing PyO3 layer in the sibling wolfxl cdylib still owns its own implementation; unifying the two is follow-up work.

Re-exports

pub use cell::Cell;

pub use cell::CellValue;

pub use error::Error;

pub use error::Result;

pub use format::classify_format;

pub use format::format_cell;

pub use format::FormatCategory;

pub use map::classify_sheet;

pub use map::SheetClass;

pub use map::SheetMap;

pub use map::WorkbookMap;

pub use schema::infer_sheet_schema;

pub use schema::Cardinality;

pub use schema::ColumnSchema;

pub use schema::InferredType;

pub use schema::SheetSchema;

pub use sheet::Sheet;

pub use styles::builtin_num_fmt;

pub use styles::resolve_num_fmt;

pub use styles::XfEntry;

pub use styles::BUILTIN_NUM_FMTS;

pub use workbook::SourceFormat;

pub use workbook::Workbook;

pub use workbook::WorkbookStyles;

Modules

cell

error

format

Number-format detection and cell-value rendering.

map

Workbook map: one-page summary of every sheet (dimensions, headers, classification, anchored tables) plus workbook-level named ranges.

ooxml

OOXML zip/XML helpers. Pure-Rust, no PyO3 coupling.

schema

Per-column schema inference: type, null count, cardinality, format.

sheet

styles

Pure-Rust xl/styles.xml reader — cellXfs + numFmts.

workbook

worksheet_xml

Worksheet XML walker — builds a per-cell (row, col) → styleId map.