Research any topic before you write.

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

Matplotlib: Science, Overview & Usage

Matplotlib (a portmanteau of MATLAB, plot, and library) is a plotting library for the Python programming language and its numerical mathematics extension NumPy. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK. There is also a procedural "pylab" interface based…

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%

Matplotlib topic overview

The analysis highlights Science, Overview and Usage as prominent areas in the source structure around Matplotlib.

Related topics
31
Source areas
3
Connected nodes
34
Extracted relationships
30
Concept neighborhoods
20
Bridge connections
34

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 · 20 topics
Usage · 6 topics
Related projects · 5 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
Michael Droettboom, et al.
Engine
Cairo, Anti-Grain Geometry
License
Matplotlib license
Operating system
Cross-platform
Original author
John D. Hunter
Release
2003; 23 years ago (2003)

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

Usage

Related projects

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 Matplotlib connects Entity context

The extracted context around Matplotlib shows recurring relationship patterns in the source. For example, Matplotlib → Event Horizon Telescope, For, In, It, Its, Jupyter Notebook, Many, Matplotlib’s, NASA, Python, STEM Another extracted example is Matplotlib → DISLINGNU OctavePlotly, Python. Use these groups to spot repeated connection types before inspecting the individual relationships.

Matplotlib

Top relations

related to Usage · 11
Matplotlib → Event Horizon Telescope, For, In, It, Its, Jupyter Notebook, Many, Matplotlib’s, NASA, Python, STEM
related to Related projects · 2
Matplotlib → DISLINGNU OctavePlotly, Python
Developers · 1
Matplotlib → Michael Droettboom, et al.
Engine · 1
Matplotlib → Cairo, Anti-Grain Geometry
License · 1
Matplotlib → Matplotlib license
Operating system · 1
Matplotlib → Cross-platform
Original author · 1
Matplotlib → John D. Hunter
Release · 1
Matplotlib → 2003; 23 years ago (2003)
Repository · 1
Matplotlib → github.com/matplotlib/matplotlib
Stable release · 1
Matplotlib → 3.11.1 / 18 July 2026; 37 days ago (18 July 2026)

Important terminology

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

Important terminology

john python plotting plots hunter also matlab used like use written license michael droettboom library scientific data programming development community

Matplotlib relationships Subject–Predicate–Object triples

TTTA extracted 30 structured relationships around Matplotlib. Examples in this analysis include Matplotlib → Developers → Michael Droettboom, et al. and Matplotlib → Engine → Cairo, Anti-Grain Geometry. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
MatplotlibDevelopersMichael Droettboom, et al.1.00infobox
MatplotlibEngineCairo, Anti-Grain Geometry1.00infobox
MatplotlibLicenseMatplotlib license1.00infobox
MatplotlibOperating systemCross-platform1.00infobox
MatplotlibOriginal authorJohn D. Hunter1.00infobox
MatplotlibRelease2003; 23 years ago (2003)1.00infobox
MatplotlibRepositorygithub.com/matplotlib/matplotlib1.00infobox
MatplotlibStable release3.11.1 / 18 July 2026; 37 days ago (18 July 2026)1.00infobox
MatplotlibTypePlotting1.00infobox
MatplotlibWebsitematplotlib.org1.00infobox
MatplotlibWritten inPython1.00infobox
Matplotlibis aNumFOCUS fiscally sponsored project0.90text

Related concept clusters Concept neighborhoods

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

  • Matplotlib
    • Plotting
    • Python
    • Used
    • Libraries
    • Library
    • Many
    • Online
    • Programming
    • Visualization
    • Website
    • Written
    • Also
  • matplotlib
    • Plotting
    • Python
    • Used
    • Libraries
    • Library
    • Many
    • Online
    • Programming
    • Visualization
    • Website
    • Written
    • Also
  • plotting
    • Python
    • Many
    • Scientific
    • Numpy
    • Portmanteau
    • Institutions
    • Libraries
    • License
    • Online
    • Programming
    • Visualization
    • Website
  • matlab
    • Numpy
    • Opengl
    • Portmanteau
    • Procedural
    • Library
    • Like
    • Programming
    • Use
    • Also
    • Plotting
    • Python
    • Matplotlib
  • library
    • Numpy
    • Plotting
    • Portmanteau
    • Institutions
    • Many
    • Matlab
    • Online
    • Programming
    • Widely
    • Python
    • Matplotlib
  • python
    • Libraries
    • Website
    • Scientific
    • License
    • Many
    • Online
    • Open-source
    • Visualization
    • Written
    • Data
    • Used
  • data science
    • Visualization
    • Used
    • License
    • Programming
    • Website
    • Written
    • Scientific
    • Matplotlib
    • Plots
    • Plotting
    • Python
  • bsd-style license
    • Visualization
    • Website
    • Written
    • Data
    • Scientific
    • Plotting
    • Python
    • Used
    • Matplotlib

Connections between topic areas Semantic bridges

For Matplotlib, one of the stronger structural bridges in this analysis connects Matplotlib 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
Matplotlib — Overview · splits 14 ⟂ 21
Matplotlib — Usage · splits 28 ⟂ 7
Matplotlib — Related projects · splits 29 ⟂ 6

Map overview Semantic statistics

Matplotlib

Nodes35
Edges34
Triples30
Avg. degree1.94
Density0.057143
Components1

Source & methodology

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

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

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