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Hw.sensors: History, Drivers & Overview

The hw.sensors framework is a kernel-level hardware sensors framework originating from OpenBSD, which uses the sysctl kernel interface as the transport layer between the kernel and the userland. As of 2019, the framework is used by over a hundred device drivers in OpenBSD to export various environmental sensors, with temperature sensors being the most…

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Hw.sensors topic overview

The analysis highlights History, Drivers and Overview as prominent areas in the source structure around Hw.sensors.

Related topics
28
Source areas
3
Connected nodes
31
Extracted relationships
8
Concept neighborhoods
18
Bridge connections
31

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.

Drivers · 11 topics
Overview · 10 topics
History · 7 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
The OpenBSD Project
Licence
ISC
Operating system
OpenBSD, DragonFly BSD
Original authors
Constantine A. Murenin (2006), Alexander Yurchenko (2003–2004)
Release
25 April 2003; 23 years ago (2003-04-25)
Repository
cvsweb.openbsd.org/cgi-bin/cvsweb/src/sys/sys/sensors.h

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

Drivers

History

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 Hw.sensors connects Entity context

The extracted context around Hw.sensors shows recurring relationship patterns in the source. For example, Hw.sensors → The OpenBSD Project Another extracted example is Hw.sensors → ISC. Use these groups to spot repeated connection types before inspecting the individual relationships.

Hw.sensors

Top relations

Developer · 1
Hw.sensors → The OpenBSD Project
Licence · 1
Hw.sensors → ISC
Operating system · 1
Hw.sensors → OpenBSD, DragonFly BSD
Original authors · 1
Hw.sensors → Constantine A. Murenin (2006), Alexander Yurchenko (2003–2004)
Release · 1
Hw.sensors → 25 April 2003; 23 years ago (2003-04-25)
Repository · 1
Hw.sensors → cvsweb.openbsd.org/cgi-bin/cvsweb/src/sys/sys/sensors.h
Type · 1
Hw.sensors → system monitoring
Written in · 1
Hw.sensors → C

Important terminology

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

Important terminology

openbsd framework sensors drivers monitoring sysctl userland device daemon openntpd 2006 release dragonfly bsd hw type lm provided 2007 uses

Hw.sensors relationships Subject–Predicate–Object triples

TTTA extracted 8 structured relationships around Hw.sensors. Examples in this analysis include Hw.sensors → Developer → The OpenBSD Project and Hw.sensors → Licence → ISC. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Hw.sensorsDeveloperThe OpenBSD Project1.00infobox
Hw.sensorsLicenceISC1.00infobox
Hw.sensorsOperating systemOpenBSD, DragonFly BSD1.00infobox
Hw.sensorsOriginal authorsConstantine A. Murenin (2006), Alexander Yurchenko (2003–2004)1.00infobox
Hw.sensorsRelease25 April 2003; 23 years ago (2003-04-25)1.00infobox
Hw.sensorsRepositorycvsweb.openbsd.org/cgi-bin/cvsweb/src/sys/sys/sensors.h1.00infobox
Hw.sensorsTypesystem monitoring1.00infobox
Hw.sensorsWritten inC1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Hw.sensors bring nearby vocabulary together. In this analysis, examples include Also, External and History. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Hw.sensors
    • Also
    • External
    • History
    • Interface
    • Lm
    • Sysctl
    • Userland
    • Uses
    • Monitoring
    • Cgi-bin
    • Cvsweb
    • Management
  • hw.sensors
    • Also
    • External
    • History
    • Interface
    • Lm
    • Sysctl
    • Userland
    • Uses
    • Monitoring
    • Cgi-bin
    • Cvsweb
    • Management
  • openbsd
    • Sensors
    • Release
    • Drivers
    • Cgi-bin
    • Common
    • Cvsweb
    • Interface
    • Management
    • Org
    • Sysctl
    • Type
    • Userland
  • lm_sensors
    • Org
    • System
    • Lm
    • Sensors
    • Monitoring
    • Management
    • Type
    • Written
    • Yurchenko
    • Also
    • Cgi-bin
    • Cvsweb
  • intelligent platform management interface
    • Monitoring
    • Alexander
    • Cgi-bin
    • Cvsweb
    • I2c
    • Management
    • Openntpd
    • Org
    • Sensorsd
    • Simple
    • Sysctl
    • System
  • simple network management protocol
    • Monitoring
    • Alexander
    • Cgi-bin
    • Cvsweb
    • I2c
    • Openntpd
    • Org
    • Sensorsd
    • Simple
    • Sysctl
    • System
    • Type
  • dragonfly bsd
    • Bsd
    • Dragonfly
    • Cgi-bin
    • Cvsweb
    • I2c
    • Interface
    • Management
    • Org
    • System
    • Type
    • Written
    • Yurchenko
  • device drivers
    • Used
    • Framework
    • Drivers
    • Common
    • Openbsd
    • Type
    • External
    • Release
    • Sensors
    • Alexander
    • Also
    • History

Connections between topic areas Semantic bridges

For Hw.sensors, one of the stronger structural bridges in this analysis connects Hw.sensors with Drivers. 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
Hw.sensors — Drivers · splits 20 ⟂ 12
Hw.sensors — Overview · splits 21 ⟂ 11
Hw.sensors — History · splits 24 ⟂ 8

Map overview Semantic statistics

Hw.sensors

Nodes32
Edges31
Triples8
Avg. degree1.94
Density0.0625
Components1

Source & methodology

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

Source: Wikipedia — Hw.sensors · EN edition · Analysis: TopicsToTalkAbout

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