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Pyspread

Pyspread is a non-traditional spreadsheet. Cells in pyspread's grid accept expressions in the Python programming language. A cell can return any Python object, which allows calculations with vectors, matrices, fractions, arbitrary precision numbers and symbols. Therefore, pyspread follows an approach that is similar to the spreadsheet SIAG from Siag Office.

Overview, Related Topics & Entities

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Research this topic

Explore the main themes, entities and connections around Pyspread. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

License
GPL-3.0-or-later
Operating system
Unix-like, Windows
Original author
Martin Manns
Platform
PyQt 6
Repository
gitlab.com/pyspread/pyspread
Size
2.3 MB

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Pyspread

Nodes27
Edges26
Triples11
Avg. degree1.93
Density0.074074
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Pyspread

Top relations

License · 1
Pyspread → GPL-3.0-or-later
Operating system · 1
Pyspread → Unix-like, Windows
Original author · 1
Pyspread → Martin Manns
Platform · 1
Pyspread → PyQt 6
Repository · 1
Pyspread → gitlab.com/pyspread/pyspread
Size · 1
Pyspread → 2.3 MB
Stable release · 1
Pyspread → 2.4.5 / 21 April 2026
Type · 1
Pyspread → Spreadsheet
Website · 1
Pyspread → pyspread.gitlab.io
Written in · 1
Pyspread → Python

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

python spreadsheet files linux free software cells programming language cell therefore vector spreadsheets windows martin manns gpl-3 0-or-later license website

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
PyspreadLicenseGPL-3.0-or-later1.00infobox
PyspreadOperating systemUnix-like, Windows1.00infobox
PyspreadOriginal authorMartin Manns1.00infobox
PyspreadPlatformPyQt 61.00infobox
PyspreadRepositorygitlab.com/pyspread/pyspread1.00infobox
PyspreadSize2.3 MB1.00infobox
PyspreadStable release2.4.5 / 21 April 20261.00infobox
PyspreadTypeSpreadsheet1.00infobox
PyspreadWebsitepyspread.gitlab.io1.00infobox
PyspreadWritten inPython1.00infobox
Pyspreadrelated to External linksOfficial0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.