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GoAgent: Overview, Related Topics & Entities

GoAgent is a GNU GPL open-source cross-platform network access software. It is mainly written with Python and supports Windows, OS X, Linux and most Linux-based OS like Android and OpenWrt. It uses Google App Engine servers to provide users with a free proxy service to gain access to blocked information. It is normally used with web browsers.

Language: English [EN]
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GoAgent topic overview

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

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.

Developers
phus.lu, HewigOvens
Final release
3.2.3 (November 22, 2014; 11 years ago (2014-11-22)) [±]
License
GPL v2
Operating system
Cross-platform
Repository
github.com/goagent/goagent
Type
Proxy server

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 GoAgent connects Entity context

The extracted context around GoAgent shows recurring relationship patterns in the source. For example, GoAgent → phus.lu, HewigOvens Another extracted example is GoAgent → 3.2.3 (November 22, 2014; 11 years ago (2014-11-22)) [±]. Use these groups to spot repeated connection types before inspecting the individual relationships.

GoAgent

Top relations

Developers · 1
GoAgent → phus.lu, HewigOvens
Final release · 1
GoAgent → 3.2.3 (November 22, 2014; 11 years ago (2014-11-22)) [±]
License · 1
GoAgent → GPL v2
Operating system · 1
GoAgent → Cross-platform
Repository · 1
GoAgent → github.com/goagent/goagent
Type · 1
GoAgent → Proxy server
Website · 1
GoAgent → goagent.github.io (defunct)
Written in · 1
GoAgent → Python
is a · 1
GoAgent → GNU GPL open-source cross-platform network access software
related to External links · 1
GoAgent → GitHub

Important terminology

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

Important terminology

cross-platform python access proxy gpl written release github website windows linux linux-based android openwrt gnu open-source network software mainly supports

GoAgent relationships Subject–Predicate–Object triples

TTTA extracted 10 structured relationships around GoAgent. Examples in this analysis include GoAgent → Developers → phus.lu, HewigOvens and GoAgent → Final release → 3.2.3 (November 22, 2014; 11 years ago (2014-11-22)) [±]. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
GoAgentDevelopersphus.lu, HewigOvens1.00infobox
GoAgentFinal release3.2.3 (November 22, 2014; 11 years ago (2014-11-22)) [±]1.00infobox
GoAgentLicenseGPL v21.00infobox
GoAgentOperating systemCross-platform1.00infobox
GoAgentRepositorygithub.com/goagent/goagent1.00infobox
GoAgentTypeProxy server1.00infobox
GoAgentWebsitegoagent.github.io (defunct)1.00infobox
GoAgentWritten inPython1.00infobox
GoAgentis aGNU GPL open-source cross-platform network access software0.90text
GoAgentrelated to External linksGitHub0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around GoAgent bring nearby vocabulary together. In this analysis, examples include Cross-platform, Gpl and Release. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • GoAgent
    • Cross-platform
    • Gpl
    • Release
    • Eventually
    • Github
    • Network
    • Open-source
    • Software
    • Website
    • Access
    • Proxy
    • Python
  • goagent
    • Cross-platform
    • Gpl
    • Release
    • Eventually
    • Github
    • Network
    • Open-source
    • Software
    • Website
    • Access
    • Proxy
    • Python
  • gnu gpl
    • Network
    • Open-source
    • Software
    • Access
    • Cross-platform
    • Github
    • Gpl
    • Website
    • Proxy
    • Python
    • Release
    • Written
  • cross-platform
    • Gpl
    • Github
    • Gnu
    • Goagent
    • Network
    • Open-source
    • Software
    • Website
    • Access
    • Proxy
    • Python
    • Release
  • google app engine
    • App
    • Blocked
    • Engine
    • Free
    • Gain
    • Google
    • Information
    • Provide
    • Servers
    • Service
    • Users
    • Uses
  • proxy
    • Blocked
    • Gain
    • Github
    • Information
    • Servers
    • Service
    • Users
    • Uses
    • Website
    • Python
    • Release
    • Written
  • linux
    • Android
    • Like
    • Linux-based
    • Mainly
    • Openwrt
    • Os
    • Supports
    • Windows
    • Python
    • Written
  • android
    • Like
    • Linux
    • Linux-based
    • Mainly
    • Openwrt
    • Os
    • Supports
    • Windows
    • Python
    • Written

Connections between topic areas Semantic bridges

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

Min side: 3

Map overview Semantic statistics

GoAgent

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

Source & methodology

TTTA analyzes the structure around GoAgent 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 — GoAgent · EN edition · Analysis: TopicsToTalkAbout

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