Skip to content
Novus Examples
ods1.8 KB

ODS — OpenDocument Spreadsheet

An OpenDocument Spreadsheet with the same tabular data as the plain XLSX and legacy XLS — a member of an XLSX↔ODS↔XLS conversion set for spreadsheet importers.

Rendered preview of ODS — OpenDocument Spreadsheet

Rendered preview of the ods file (1.8 KB). Download above for the original.

Specifications

Format
OpenDocument Spreadsheet (ODS)
Sheets
1
Rows
11
Twin Of
Plain XLSX

What is a .ods file?

ODS is the OpenDocument Spreadsheet format, an ISO-standardized spreadsheet stored as a ZIP archive of XML. It is the native spreadsheet format of LibreOffice and OpenOffice Calc, supporting multiple sheets, formulas, and formatting. It is the open-standard counterpart to XLSX.

How to use this file

Use an example ODS to test OpenDocument spreadsheet parsing, formula and multi-sheet handling, and converters between ODS and XLSX or CSV.

How to use this file for testing

“ODS — OpenDocument Spreadsheet” is a deterministic Novus Examples fixture for Spreadsheet testing, Conversion testing. Multi-sheet workbooks with documented formulas and plain sheets for testing spreadsheet parsers and importers.

Documented properties for this file: 11 rows · 1 sheets · OpenDocument Spreadsheet (ODS). Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.

Document fixtures list their internal structure (pages, fields, tracked changes, embedded objects) in the spec table. Test extractors, converters, and OCR against that known structure, and compare searchable↔scanned or format-twin companions when present.

Code examples

import pandas as pd  # pip install odfpy

df = pd.read_excel("plain.ods", engine="odf")
print(df.head())

Generated by generation/docs_odf.py. Free for any use, no attribution required — license.