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KeePassXC: Overview, Related Topics & Entities

KeePassXC (originally KeePassX) is a free and open-source cross-platform password manager. It is built using the Qt toolkit, which allows it to run on Linux, Windows, macOS, and BSD, unlike the original KeePass software.

Language: English [EN]
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KeePassXC topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around KeePassXC.

Related topics
18
Source areas
1
Connected nodes
19
Extracted relationships
12
Concept neighborhoods
16
Bridge connections
19

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 18 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

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

Developer
KeePassXC Team
License
GPL 2.0 and 3.0
Operating system
Windows · macOS · Linux
Platform
x86-64, x86, Apple silicon, AArch64 and others
Release
May 2, 2012; 14 years ago (2012-05-02)
Repository
github.com/keepassxreboot/keepassxc

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. 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.

How KeePassXC connects Entity context

The extracted context around KeePassXC shows recurring relationship patterns in the source. For example, KeePassXC → Linux, macOS, Windows Another extracted example is KeePassXC → KeePassXC Team. Use these groups to spot repeated connection types before inspecting the individual relationships.

KeePassXC

Top relations

Operating system · 3
KeePassXC → Linux, macOS, Windows
Developer · 1
KeePassXC → KeePassXC Team
License · 1
KeePassXC → GPL 2.0 and 3.0
Platform · 1
KeePassXC → x86-64, x86, Apple silicon, AArch64 and others
Release · 1
KeePassXC → May 2, 2012; 14 years ago (2012-05-02)
Repository · 1
KeePassXC → github.com/keepassxreboot/keepassxc
Stable release · 1
KeePassXC → 2.7.12 / 10 March 2026; 5 months ago (10 March 2026)
Type · 1
KeePassXC → Password manager
Website · 1
KeePassXC → keepassxc.org
Written in · 1
KeePassXC → C++

Important terminology

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

Important terminology

password keepass software linux windows macos using uses version security browser also manager free open-source github website bsd yubikey firefox

KeePassXC relationships Subject–Predicate–Object triples

TTTA extracted 12 structured relationships around KeePassXC. Examples in this analysis include KeePassXC → Developer → KeePassXC Team and KeePassXC → License → GPL 2.0 and 3.0. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
KeePassXCDeveloperKeePassXC Team1.00infobox
KeePassXCLicenseGPL 2.0 and 3.01.00infobox
KeePassXCOperating systemWindows1.00infobox
KeePassXCOperating systemmacOS1.00infobox
KeePassXCOperating systemLinux1.00infobox
KeePassXCPlatformx86-64, x86, Apple silicon, AArch64 and others1.00infobox
KeePassXCReleaseMay 2, 2012; 14 years ago (2012-05-02)1.00infobox
KeePassXCRepositorygithub.com/keepassxreboot/keepassxc1.00infobox
KeePassXCStable release2.7.12 / 10 March 2026; 5 months ago (10 March 2026)1.00infobox
KeePassXCTypePassword manager1.00infobox
KeePassXCWebsitekeepassxc.org1.00infobox
KeePassXCWritten inC++1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around KeePassXC bring nearby vocabulary together. In this analysis, examples include Password, Free and Manager. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • KeePassXC
    • Password
    • Free
    • Manager
    • Open-source
    • Security
    • Uses
    • Software
    • Cross-platform
    • Database
    • Format
    • Github
    • Kdbx
  • keepassxc
    • Password
    • Free
    • Manager
    • Open-source
    • Security
    • Uses
    • Software
    • Cross-platform
    • Database
    • Format
    • Github
    • Kdbx
  • keepass
    • Convert
    • Database
    • Format
    • Import
    • Kdbx
    • Natively
    • Older
    • Original
    • Qt
    • Run
    • Toolkit
    • Unlike
  • windows
    • Linux
    • Macos
    • Software
    • Allows
    • Bsd
    • Built
    • Github
    • Original
    • Qt
    • Run
    • Toolkit
    • Unlike
  • linux
    • Macos
    • Windows
    • Software
    • Github
    • Original
    • Qt
    • Run
    • Toolkit
    • Unlike
    • Website
    • Also
    • Manager
  • macos
    • Windows
    • Software
    • Github
    • Original
    • Qt
    • Run
    • Toolkit
    • Unlike
    • Website
    • Also
    • Manager
    • Open-source
  • free and open-source
    • Manager
    • Open-source
    • Cross-platform
    • Github
    • Keepassx
    • Originally
    • Password
    • Website
    • Also
    • Linux
    • Macos
    • Windows
  • password manager
    • Open-source
    • Github
    • Originally
    • Password
    • Uses
    • Website
    • Also
    • Linux
    • Macos
    • Windows
    • Natively
    • Software

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the KeePassXC map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

KeePassXC

Nodes20
Edges19
Triples12
Avg. degree1.9
Density0.1
Components1

Source & methodology

TTTA analyzes the structure around KeePassXC to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — KeePassXC · EN edition · Analysis: TopicsToTalkAbout

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