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SOFA Statistics

SOFA Statistics is an open-source statistical package. The name stands for Statistics Open For All.

Works, Overview & Statistics features - workflows

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around SOFA Statistics. 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.

Developers
Paton-Simpson & Associates Ltd
License
AGPL
Operating system
Cross-platform
Stable release
1.5.7 / 11 September 2024; 23 months ago (2024-09-11)
Type
Statistical analysis
Written in
Python

Topics to explore

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

Overview

Statistics features - workflows

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

SOFA Statistics

Nodes42
Edges41
Triples16
Avg. degree1.95
Density0.047619
Components1

How this topic connects Entity context

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

SOFA Statistics

Top relations

related to External links · 4
SOFA Statistics → LaunchpadSOFA Statistics, Show Me Do, SOFA Statistics HomepageSOFA Statistics, Source ForgeSOFA Statistics
Developers · 1
SOFA Statistics → Paton-Simpson & Associates Ltd
License · 1
SOFA Statistics → AGPL
Operating system · 1
SOFA Statistics → Cross-platform
Stable release · 1
SOFA Statistics → 1.5.7 / 11 September 2024; 23 months ago (2024-09-11)
Type · 1
SOFA Statistics → Statistical analysis
Website · 1
SOFA Statistics → www.sofastatistics.com
Written in · 1
SOFA Statistics → Python
is a · 1
SOFA Statistics → open-source statistical package

Important terminology Word statistics

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

Important terminology

statistical statistics sofa available microsoft packages python also operating written open-source open data produced column features analysis mysql postgresql sqlite

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
SOFA StatisticsDevelopersPaton-Simpson & Associates Ltd1.00infobox
SOFA StatisticsLicenseAGPL1.00infobox
SOFA StatisticsOperating systemCross-platform1.00infobox
SOFA StatisticsStable release1.5.7 / 11 September 2024; 23 months ago (2024-09-11)1.00infobox
SOFA StatisticsTypeStatistical analysis1.00infobox
SOFA StatisticsWebsitewww.sofastatistics.com1.00infobox
SOFA StatisticsWritten inPython1.00infobox
SOFA Statisticsis aopen-source statistical package0.90text
Microsoft Windowsinstance ofand sum.Installation packages are available for several operating systems0.80text
Ubuntuinstance ofand sum.Installation packages are available for several operating systems0.80text
Arch Linuxinstance ofand sum.Installation packages are available for several operating systems0.80text
Linux Mintinstance ofand sum.Installation packages are available for several operating systems0.80text

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.