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Slic3r: Products & Art

Slic3r is free software 3D slicing engine for 3D printers. It generates G-code from 3D CAD files (STL or OBJ). Once finished, an appropriate G-code file for the production of the 3D modeled part, or object is sent to the 3D printer for the manufacturing of a physical object. As of 2013, about half of the 3D printers tested by Make Magazine supported Slic3r.

Language: English [EN]
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Slic3r topic overview

The analysis highlights Products and Art as prominent areas in the source structure around Slic3r.

Related topics
9
Source areas
1
Connected nodes
10
Extracted relationships
11
Concept neighborhoods
11
Bridge connections
10

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 · 9 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 AGPL
Operating system
Microsoft Windows, Mac OS X, Linux
Original author
Alessandro Ranellucci
Repository
github.com/slic3r/Slic3r
Stable release
1.3.0 / May 10, 2018; 8 years ago (2018-05-10)
Type
3D printer slicing application

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 Slic3r connects Entity context

The extracted context around Slic3r shows recurring relationship patterns in the source. For example, Slic3r → Archived, Github, Official, Wayback Machine Another extracted example is Slic3r → GNU AGPL. Use these groups to spot repeated connection types before inspecting the individual relationships.

Slic3r

Top relations

related to External links · 4
Slic3r → Archived, Github, Official, Wayback Machine
License · 1
Slic3r → GNU AGPL
Operating system · 1
Slic3r → Microsoft Windows, Mac OS X, Linux
Original author · 1
Slic3r → Alessandro Ranellucci
Repository · 1
Slic3r → github.com/slic3r/Slic3r
Stable release · 1
Slic3r → 1.3.0 / May 10, 2018; 8 years ago (2018-05-10)
Type · 1
Slic3r → 3D printer slicing application
Website · 1
Slic3r → slic3r.org

Important terminology

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

Important terminology

3d g-code prusaslicer printers fork slicing printer software website repository github cad free open-source portal engine generates files stl obj

Slic3r relationships Subject–Predicate–Object triples

TTTA extracted 11 structured relationships around Slic3r. Examples in this analysis include Slic3r → License → GNU AGPL and Slic3r → Operating system → Microsoft Windows, Mac OS X, Linux. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Slic3rLicenseGNU AGPL1.00infobox
Slic3rOperating systemMicrosoft Windows, Mac OS X, Linux1.00infobox
Slic3rOriginal authorAlessandro Ranellucci1.00infobox
Slic3rRepositorygithub.com/slic3r/Slic3r1.00infobox
Slic3rStable release1.3.0 / May 10, 2018; 8 years ago (2018-05-10)1.00infobox
Slic3rType3D printer slicing application1.00infobox
Slic3rWebsiteslic3r.org1.00infobox
Slic3rrelated to External linksOfficial0.60section
Slic3rrelated to External linksGithub0.60section
Slic3rrelated to External linksArchived0.60section
Slic3rrelated to External linksWayback Machine0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Slic3r bring nearby vocabulary together. In this analysis, examples include Printers, Slicing and Software. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • 3d printers
    • Slic3r
    • Half
    • Magazine
    • Make
    • Supported
    • Tested
    • G-code
    • Printer
    • Printers
    • Slicing
    • Software
    • Appropriate
  • 3d modeled
    • Manufacturing
    • Object
    • Part
    • Physical
    • Production
    • Sent
    • Slic3r
    • Printer
    • G-code
    • Printers
    • Slicing
    • Software
  • g-code
    • Appropriate
    • Cad
    • File
    • Files
    • Finished
    • Generates
    • Manufacturing
    • Modeled
    • Obj
    • Object
    • Part
    • Physical
  • Slic3r
    • Printers
    • Slicing
    • Software
    • Github
    • Half
    • Magazine
    • Make
    • Repository
    • Supported
    • Tested
    • Website
    • Printer
  • slic3r
    • Printers
    • Slicing
    • Software
    • Github
    • Half
    • Magazine
    • Make
    • Repository
    • Supported
    • Tested
    • Website
    • Printer
  • slicing engine
    • Free
    • Open-source
    • Portal
    • Software
    • Github
    • Printers
    • Repository
    • Slicing
    • Website
    • Printer
    • Slic3r
  • free software
    • Engine
    • Open-source
    • Portal
    • Printers
    • Slicing
    • Software
    • Website
    • Slic3r
    • 3d
  • make magazine
    • Magazine
    • Make
    • Supported
    • Tested
    • Printers
    • Slic3r

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the Slic3r map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

Slic3r

Nodes11
Edges10
Triples11
Avg. degree1.82
Density0.181818
Components1

Source & methodology

TTTA analyzes the structure around Slic3r to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Products & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Slic3r · EN edition · Analysis: TopicsToTalkAbout

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