Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Vagrant (software): History & Products

Vagrant is a source-available software product for building and maintaining portable virtual software development environments; e.g., for VirtualBox, KVM, Hyper-V, Docker containers, VMware, Parallels, and AWS. It tries to simplify the software configuration management of virtualization in order to increase development productivity. Vagrant is written in…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Vagrant (software) topic overview

The analysis highlights History and Products as prominent areas in the source structure around Vagrant (software).

Related topics
32
Source areas
4
Connected nodes
36
Extracted relationships
18
Concept neighborhoods
21
Bridge connections
36

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 · 13 topics
History · 10 topics
Architecture · 8 topics
License change · 1 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.

Available in
English
Developers
HashiCorp (Mitchell Hashimoto and John Bender)
License
Business Source License 1.1 (source-available)(changing to MPL-2.0 after grace period)
Operating system
Linux, FreeBSD, macOS, and Microsoft Windows
Original author
Mitchell Hashimoto
Release
March 8, 2010; 16 years ago (2010-03-08)

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

History

Architecture

License change

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 Vagrant (software) connects Entity context

The extracted context around Vagrant (software) shows recurring relationship patterns in the source. For example, Vagrant (software) → English Another extracted example is Vagrant (software) → HashiCorp (Mitchell Hashimoto and John Bender). Use these groups to spot repeated connection types before inspecting the individual relationships.

Vagrant (software)

Top relations

Available in · 1
Vagrant (software) → English
Developers · 1
Vagrant (software) → HashiCorp (Mitchell Hashimoto and John Bender)
License · 1
Vagrant (software) → Business Source License 1.1 (source-available)(changing to MPL-2.0 after grace period)
Operating system · 1
Vagrant (software) → Linux, FreeBSD, macOS, and Microsoft Windows
Original author · 1
Vagrant (software) → Mitchell Hashimoto
Release · 1
Vagrant (software) → March 8, 2010; 16 years ago (2010-03-08)
Repository · 1
Vagrant (software) → github.com/hashicorp/vagrant
Stable release · 1
Vagrant (software) → 2.4.9 / 21 August 2025; 12 months ago (21 August 2025)
Type · 1
Vagrant (software) → Configuration management
Website · 1
Vagrant (software) → www.vagrantup.com

Important terminology

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

Important terminology

vagrant software environments development virtual configuration hashicorp written ruby virtualization license virtualbox docker vmware version order source-available kvm hyper-v aws

Vagrant (software) relationships Subject–Predicate–Object triples

TTTA extracted 18 structured relationships around Vagrant (software). Examples in this analysis include Vagrant (software) → Available in → English and Vagrant (software) → Developers → HashiCorp (Mitchell Hashimoto and John Bender). The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Vagrant (software)Available inEnglish1.00infobox
Vagrant (software)DevelopersHashiCorp (Mitchell Hashimoto and John Bender)1.00infobox
Vagrant (software)LicenseBusiness Source License 1.1 (source-available)(changing to MPL-2.0 after grace period)1.00infobox
Vagrant (software)Operating systemLinux, FreeBSD, macOS, and Microsoft Windows1.00infobox
Vagrant (software)Original authorMitchell Hashimoto1.00infobox
Vagrant (software)ReleaseMarch 8, 2010; 16 years ago (2010-03-08)1.00infobox
Vagrant (software)Repositorygithub.com/hashicorp/vagrant1.00infobox
Vagrant (software)Stable release2.4.9 / 21 August 2025; 12 months ago (21 August 2025)1.00infobox
Vagrant (software)TypeConfiguration management1.00infobox
Vagrant (software)Websitewww.vagrantup.com1.00infobox
Vagrant (software)Written inRuby1.00infobox
VMwareinstance ofbut version 1.1 added support for other virtualization software0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Vagrant (software) bring nearby vocabulary together. In this analysis, examples include Virtualization, Order and Environments. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Vagrant (software)
    • Virtualization
    • Order
    • Environments
    • Vagrant
    • Hashicorp
    • Version
    • Written
    • Development
    • Configuration
    • Business
    • Citation
    • Docker
  • vagrant (software)
    • Virtualization
    • Support
    • Virtualbox
    • Vmware
    • Environments
    • Development
    • Aws
    • Hyper-v
    • Kvm
    • Order
    • Vagrant
    • Citation
  • source-available software
    • Virtualization
    • Support
    • Virtualbox
    • Vmware
    • Environments
    • Virtual
    • Aws
    • Building
    • Containers
    • Development
    • Hyper-v
    • Kvm
  • software configuration management
    • Virtualization
    • Support
    • Virtual
    • Virtualbox
    • Vmware
    • Environments
    • Management
    • Using
    • Business
    • Development
    • License
    • Machine
  • free software
    • Virtualization
    • Support
    • Virtualbox
    • Vmware
    • Environments
    • Development
    • Aws
    • Hyper-v
    • Kvm
    • Order
    • Vagrant
    • Citation
  • hashicorp
    • Mitchell
    • Business
    • Citation
    • License
    • Needed
    • Source
    • Support
    • Vagrant
    • Software
    • Kvm
    • Machine
    • Management
  • docker containers
    • Aws
    • Containers
    • Docker
    • Hyper-v
    • Virtualbox
    • Vmware
    • Kvm
    • Source-available
    • Supports
    • Software
    • Citation
    • Needed
  • vmware
    • Virtualbox
    • Aws
    • Hyper-v
    • Kvm
    • Citation
    • Docker
    • Needed
    • Support
    • Software
    • Virtualization
    • Building
    • Containers

Connections between topic areas Semantic bridges

For Vagrant (software), one of the stronger structural bridges in this analysis connects Vagrant (software) with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Vagrant (software) — Overview · splits 23 ⟂ 14
Vagrant (software) — History · splits 26 ⟂ 11
Vagrant (software) — Architecture · splits 28 ⟂ 9

Map overview Semantic statistics

Vagrant (software)

Nodes37
Edges36
Triples18
Avg. degree1.95
Density0.054054
Components1

Source & methodology

TTTA analyzes the structure around Vagrant (software) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Vagrant (software) · EN edition · Analysis: TopicsToTalkAbout

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