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Getmail: Standards & Overview

getmail is a simple mail retrieval agent intended as a replacement for fetchmail, implemented in Python. It can retrieve mail from POP3, IMAP4, and Standard Dial-up POP3 Service servers, with or without SSL. It supports simple and domain (multidrop) mailboxes, mail filtering via any arbitrary program, and supports a wide variety of mail destination…

Language: English [EN]
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Getmail topic overview

The analysis highlights Standards and Overview as prominent areas in the source structure around Getmail.

Related topics
12
Source areas
1
Connected nodes
13
Extracted relationships
10
Concept neighborhoods
14
Bridge connections
13

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 · 12 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.

License
GNU General Public License v2
Operating system
Unix-like, Posix
Original author
Charles Cazabon
Release
1998; 28 years ago (1998)
Stable release
5.16 / October 31, 2021; 4 years ago (2021-10-31)
Type
E-mail

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 Getmail connects Entity context

The extracted context around Getmail shows recurring relationship patterns in the source. For example, Getmail → GNU General Public License v2 Another extracted example is Getmail → Unix-like, Posix. Use these groups to spot repeated connection types before inspecting the individual relationships.

Getmail

Top relations

License · 1
Getmail → GNU General Public License v2
Operating system · 1
Getmail → Unix-like, Posix
Original author · 1
Getmail → Charles Cazabon
Release · 1
Getmail → 1998; 28 years ago (1998)
Stable release · 1
Getmail → 5.16 / October 31, 2021; 4 years ago (2021-10-31)
Type · 1
Getmail → E-mail
Website · 1
Getmail → pyropus.ca/software/getmail/
Written in · 1
Getmail → Python
is a · 1
Getmail → simple mail retrieval agent intended as a replacement for fetchmail
related to External links · 1
Getmail → Official

Important terminology

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

Important terminology

mail python software fetchmail also original agent simple supports delivery external gnu general public license written charles cazabon author retrieval

Getmail relationships Subject–Predicate–Object triples

TTTA extracted 10 structured relationships around Getmail. Examples in this analysis include Getmail → License → GNU General Public License v2 and Getmail → Operating system → Unix-like, Posix. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
GetmailLicenseGNU General Public License v21.00infobox
GetmailOperating systemUnix-like, Posix1.00infobox
GetmailOriginal authorCharles Cazabon1.00infobox
GetmailRelease1998; 28 years ago (1998)1.00infobox
GetmailStable release5.16 / October 31, 2021; 4 years ago (2021-10-31)1.00infobox
GetmailTypeE-mail1.00infobox
GetmailWebsitepyropus.ca/software/getmail/1.00infobox
GetmailWritten inPython1.00infobox
Getmailis asimple mail retrieval agent intended as a replacement for fetchmail0.90text
Getmailrelated to External linksOfficial0.60section

Related concept clusters Concept neighborhoods

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

  • Getmail
    • Python
    • Software
    • Free
    • General
    • Gnu
    • License
    • Public
    • Retrieval
    • Agent
    • Fetchmail
    • Original
    • Mail
  • getmail
    • Python
    • Software
    • Free
    • General
    • Gnu
    • License
    • Public
    • Retrieval
    • Agent
    • Fetchmail
    • Original
    • Mail
  • mail retrieval agent
    • Retrieval
    • Mail
    • Also
    • Fetchmail
    • Implemented
    • Intended
    • Python
    • Replacement
    • Website
    • Delivery
    • External
    • Getmail
  • fetchmail
    • Retrieval
    • Also
    • Getmail
    • Python
    • Implemented
    • Intended
    • Mail
    • Replacement
    • Website
    • Author
    • Cazabon
    • Charles
  • mail filtering
    • Delivery
    • External
    • Retrieval
    • Simple
    • Also
    • Python
    • Software
    • Dial-up
    • Domain
    • Imap4
    • Implemented
    • Intended
  • mail delivery agent
    • Retrieval
    • Mail
    • Also
    • Domain
    • Fetchmail
    • Maildir
    • Mboxrd
    • Delivery
    • External
    • Getmail
    • Python
    • Simple
  • python
    • Original
    • Author
    • Fork
    • Getmail6
    • Retrieval
    • Software
    • Replacement
    • Website
    • Cazabon
    • Charles
    • External
    • Free
  • free software
    • General
    • Gnu
    • License
    • Public
    • Getmail
    • Software
    • Website
    • Author
    • Cazabon
    • Charles
    • Fork
    • Getmail6

Connections between topic areas Semantic bridges

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

Min side: 3

Map overview Semantic statistics

Getmail

Nodes14
Edges13
Triples10
Avg. degree1.86
Density0.142857
Components1

Source & methodology

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

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

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