Plotly

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-18.)

Plotly has 37 facts recorded in Dontopedia across 10 references, with 5 live disagreements.

37 facts·13 predicates·10 sources·5 in dispute

Mostly:rdf:type(10), used for(5), has characteristic(5)

Rdf:typein dispute`rdf:type`

Python Library^[2]all time · 95c5aa01 3dd1 49af 9cfe E202c9879874
Library^[3]all time · 54b49e2f 7ab2 487e 9ba2 59c53b880be5
Python Library^[4]all time · 357dd99d 87a9 4a31 8ac6 Aad418eccbfa
Library^[5]all time · Bc868865 6b7b 4751 90b1 359cd270f8d6
Library^[6]all time · 98fad419 2c7b 4f0f 9e53 19dd9b06f1f9
Data Visualization Platform^[7]all time · B34d8a9b 6767 44f4 9b5e Fede60abe21a
Open Source Platform^[8]all time · 58d34da2 C5c2 4c61 B093 2b1a9cd8298b
Data Visualization Tool^[8]all time · 58d34da2 C5c2 4c61 B093 2b1a9cd8298b
Python Library^[9]all time · E0a254d9 8b24 4bca A4f7 7e017f48a33f
Python Library^[10]all time · 32a0fb2b 3a8b 46a1 B35d F2984b5818ea

Inbound mentions (24)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

`usesLibrary`Uses Library(5)

Go.barex:go.Bar
Go.figureex:go.Figure
Monitoring Dashboardex:monitoring-dashboard
Pio.to Htmlex:pio.to_html
Plot Interactive Cost Comparisonex:plot_interactive_cost_comparison

`includes`Includes(2)

Visualization Toolsex:visualization tools
Visualization Toolsex:visualization-tools

`contrastsWith`Contrasts With(1)

Matplotlibex:matplotlib

`covers`Covers(1)

Datacamp Python Data Viz Courseex:datacamp-python-data-viz-course

`coversLibraries`Covers Libraries(1)

Datacamp Python Visualization Courseex:datacamp-python-visualization-course

`dependsOn`Depends on(1)

Dashboard Functionex:dashboard-function

`examples`Examples(1)

Visualization Toolsex:visualization tools

`hasDependency`Has Dependency(1)

Web Applicationex:web-application

`imports`Imports(1)

Library Importex:library_import

`isPartOf`Is Part of(1)

Plotly Expressex:plotlyExpress

`isProvidedBy`Is Provided by(1)

Interactive Dashboardex:interactive-dashboard

`isSubmoduleOf`Is Submodule of(1)

Plotly Expressex:plotlyExpress

`mentionsVisualizationTools`Mentions Visualization Tools(1)

Assistantex:assistant

`recommendedPythonVizLibrary`Recommended Python Viz Library(1)

Assistantex:assistant

`recommendedRVizLibrary`Recommended R Viz Library(1)

Assistantex:assistant

`recommendedTool`Recommended Tool(1)

Assistantex:assistant

`suggestsLibrary`Suggests Library(1)

Tip 2ex:tip-2

`tools`Tools(1)

Interactive Visualizationsex:interactive-visualizations

`usesLibraries`Uses Libraries(1)

Data Visualization Python Datacampex:data-visualization-python-datacamp

Other facts (22)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

22 facts

Predicate	Value	Ref
Used for	Cost Comparison Visualization	[3]
Used for	Interactive Dashboards	[6]
Used for	interactive-web-based-visualizations	[8]
Used for	interactive visualizations	[9]
Used for	interactive web-based visualizations	[10]
Has Characteristic	open-source	[7]
Has Characteristic	web-based	[7]
Has Characteristic	user-friendly	[7]
Has Characteristic	user-friendly-interface	[8]
Has Characteristic	User Friendly Interface	[8]
Has Advantage	Interactivity	[3]
Has Advantage	Embeddability	[3]
Supports	wide-range-of-chart-types	[7]
Supports	wide-range-of-chart-types	[8]
Inverse Depends on	Dashboard Function	[2]
Provides	Interactive Dashboard	[3]
Contrasts With	Matplotlib	[3]
Full Import Path	plotly.express	[4]
Is Used by	Plot Interactive Cost Comparison	[4]
Purpose	Interactive Web Based Visualizations	[8]
Capability	Wide Range of Chart Types	[8]
Is Open Source	true	[8]

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

37 undated

—

labelbeam/a665eab4-f168-4c0a-aab1-71a653f1c564

Plotly Charting Library

—

typebeam/95c5aa01-3dd1-49af-9cfe-e202c9879874

ex:PythonLibrary

—

labelbeam/95c5aa01-3dd1-49af-9cfe-e202c9879874

Plotly Visualization Library

—

inverseDependsOnbeam/95c5aa01-3dd1-49af-9cfe-e202c9879874

ex:dashboard-function

—

typebeam/54b49e2f-7ab2-487e-9ba2-59c53b880be5

ex:Library

—

labelbeam/54b49e2f-7ab2-487e-9ba2-59c53b880be5

Plotly

—

usedForbeam/54b49e2f-7ab2-487e-9ba2-59c53b880be5

ex:cost-comparison-visualization

—

providesbeam/54b49e2f-7ab2-487e-9ba2-59c53b880be5

ex:interactive-dashboard

—

hasAdvantagebeam/54b49e2f-7ab2-487e-9ba2-59c53b880be5

ex:interactivity

—

hasAdvantagebeam/54b49e2f-7ab2-487e-9ba2-59c53b880be5

ex:embeddability

—

contrastsWithbeam/54b49e2f-7ab2-487e-9ba2-59c53b880be5

ex:matplotlib

—

typebeam/357dd99d-87a9-4a31-8ac6-aad418eccbfa

ex:PythonLibrary

—

fullImportPathbeam/357dd99d-87a9-4a31-8ac6-aad418eccbfa

plotly.express

—

labelbeam/357dd99d-87a9-4a31-8ac6-aad418eccbfa

plotly

—

isUsedBybeam/357dd99d-87a9-4a31-8ac6-aad418eccbfa

ex:plot_interactive_cost_comparison

—

typebeam/bc868865-6b7b-4751-90b1-359cd270f8d6

ex:Library

—

typebeam/98fad419-2c7b-4f0f-9e53-19dd9b06f1f9

ex:Library

—

usedForbeam/98fad419-2c7b-4f0f-9e53-19dd9b06f1f9

ex:interactive_dashboards

—

typelme/b34d8a9b-6767-44f4-9b5e-fede60abe21a

ex:DataVisualizationPlatform

—

hasCharacteristiclme/b34d8a9b-6767-44f4-9b5e-fede60abe21a

open-source

—

hasCharacteristiclme/b34d8a9b-6767-44f4-9b5e-fede60abe21a

web-based

—

hasCharacteristiclme/b34d8a9b-6767-44f4-9b5e-fede60abe21a

user-friendly

—

supportslme/b34d8a9b-6767-44f4-9b5e-fede60abe21a

wide-range-of-chart-types

—

labellme/b34d8a9b-6767-44f4-9b5e-fede60abe21a

Plotly

—

typelme/58d34da2-c5c2-4c61-b093-2b1a9cd8298b

ex:OpenSourcePlatform

—

typelme/58d34da2-c5c2-4c61-b093-2b1a9cd8298b

ex:DataVisualizationTool

—

usedForlme/58d34da2-c5c2-4c61-b093-2b1a9cd8298b

interactive-web-based-visualizations

—

hasCharacteristiclme/58d34da2-c5c2-4c61-b093-2b1a9cd8298b

user-friendly-interface

—

supportslme/58d34da2-c5c2-4c61-b093-2b1a9cd8298b

wide-range-of-chart-types

—

typelme/e0a254d9-8b24-4bca-a4f7-7e017f48a33f

ex:PythonLibrary

—

usedForlme/e0a254d9-8b24-4bca-a4f7-7e017f48a33f

interactive visualizations

—

typelme/32a0fb2b-3a8b-46a1-b35d-f2984b5818ea

ex:PythonLibrary

—

usedForlme/32a0fb2b-3a8b-46a1-b35d-f2984b5818ea

interactive web-based visualizations

—

purposelme/58d34da2-c5c2-4c61-b093-2b1a9cd8298b

ex:interactive-web-based-visualizations

—

hasCharacteristiclme/58d34da2-c5c2-4c61-b093-2b1a9cd8298b

ex:user-friendly-interface

—

capabilitylme/58d34da2-c5c2-4c61-b093-2b1a9cd8298b

ex:wide-range-of-chart-types

—

isOpenSourcelme/58d34da2-c5c2-4c61-b093-2b1a9cd8298b

true

References (10)

10 references

[1]A665eab4 F168 4c0a Aab1 71a653f1c5641 fact
ctx:claims/beam/a665eab4-f168-4c0a-aab1-71a653f1c564
- full textbeam-chunk
  text/plain1 KBdoc:beam/a665eab4-f168-4c0a-aab1-71a653f1c564
  Show excerpt
  <button type="submit">Add Challenge</button> </form> <h2>Challenges</h2> <table border="1"> <tr> <th>Name</th> <th>Priority</th> <th>Description</th> </tr> {% f…
[2]95c5aa01 3dd1 49af 9cfe E202c98798743 facts
ctx:claims/beam/95c5aa01-3dd1-49af-9cfe-e202c9879874
- full textbeam-chunk
  text/plain1 KBdoc:beam/95c5aa01-3dd1-49af-9cfe-e202c9879874
  Show excerpt
  data = { "fields": { "project": {"key": "YOUR_PROJECT_KEY"}, "summary": name, "description": description, "issuetype": {"name": "Task"}, "priority": {"name": "High" if …
[3]54b49e2f 7ab2 487e 9ba2 59c53b880be57 facts
ctx:claims/beam/54b49e2f-7ab2-487e-9ba2-59c53b880be5
- full textbeam-chunk
  text/plain1 KBdoc:beam/54b49e2f-7ab2-487e-9ba2-59c53b880be5
  Show excerpt
  plot_interactive_cost_comparison(cost_data) ``` ### Conclusion By using `Matplotlib` or `Plotly`, you can create visualizations that help you compare the costs of different resources across AWS and Azure. The `Matplotlib` approach p…
[4]357dd99d 87a9 4a31 8ac6 Aad418eccbfa4 facts
ctx:claims/beam/357dd99d-87a9-4a31-8ac6-aad418eccbfa
- full textbeam-chunk
  text/plain1 KBdoc:beam/357dd99d-87a9-4a31-8ac6-aad418eccbfa
  Show excerpt
  xytext=(0, 3), # 3 points vertical offset textcoords="offset points", ha='center', va='bottom') for bar in bars_azure: height = bar.get_height() …
[5]Bc868865 6b7b 4751 90b1 359cd270f8d61 fact
ctx:claims/beam/bc868865-6b7b-4751-90b1-359cd270f8d6
- full textbeam-chunk
  text/plain1 KBdoc:beam/bc868865-6b7b-4751-90b1-359cd270f8d6
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  ### Example Usage ```python # Mark a task as completed tasks[0].mark_completed() # Update the timeline and print it again print_timeline(timeline) ``` ### Additional Tips 1. **Use a Calendar**: Consider using a calendar library like `ca…
[6]98fad419 2c7b 4f0f 9e53 19dd9b06f1f92 facts
ctx:claims/beam/98fad419-2c7b-4f0f-9e53-19dd9b06f1f9
- full textbeam-chunk
  text/plain1 KBdoc:beam/98fad419-2c7b-4f0f-9e53-19dd9b06f1f9
  Show excerpt
  The `update_layout` method allows you to customize various aspects of the plot, such as the title, axis titles, font size, and legend visibility. ### Conclusion By using Plotly, you can create interactive dashboards in Python that provide…
[7]B34d8a9b 6767 44f4 9b5e Fede60abe21a6 facts
ctx:claims/lme/b34d8a9b-6767-44f4-9b5e-fede60abe21a
- full textbeam-chunk
  text/plain17 KBdoc:beam/b34d8a9b-6767-44f4-9b5e-fede60abe21a
  Show excerpt
  [Session date: 2023/05/20 (Sat) 06:16] User: I'm looking for some help with data visualization tools. I recently participated in a case competition hosted by a consulting firm, where we had to analyze a business case and present our recomme…
[8]58d34da2 C5c2 4c61 B093 2b1a9cd8298b9 facts
ctx:claims/lme/58d34da2-c5c2-4c61-b093-2b1a9cd8298b
- full textbeam-chunk
  text/plain17 KBdoc:beam/58d34da2-c5c2-4c61-b093-2b1a9cd8298b
  Show excerpt
  [Session date: 2023/05/20 (Sat) 06:16] User: I'm looking for some help with data visualization tools. I recently participated in a case competition hosted by a consulting firm, where we had to analyze a business case and present our recomme…
[9]E0a254d9 8b24 4bca A4f7 7e017f48a33f2 facts
ctx:claims/lme/e0a254d9-8b24-4bca-a4f7-7e017f48a33f
- full textbeam-chunk
  text/plain17 KBdoc:beam/e0a254d9-8b24-4bca-a4f7-7e017f48a33f
  Show excerpt
  [Session date: 2023/05/28 (Sun) 07:17] User: I'm trying to work on a project that involves data analysis, and I was wondering if you could recommend some resources for learning more about data visualization in Python? Assistant: Data visual…
[10]32a0fb2b 3a8b 46a1 B35d F2984b5818ea2 facts
ctx:claims/lme/32a0fb2b-3a8b-46a1-b35d-f2984b5818ea

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Rdf:typein disputerdf:type

Inbound mentions (24)

usesLibraryUses Library(5)

includesIncludes(2)

contrastsWithContrasts With(1)

coversCovers(1)

coversLibrariesCovers Libraries(1)

dependsOnDepends on(1)

examplesExamples(1)

hasDependencyHas Dependency(1)

importsImports(1)

isPartOfIs Part of(1)

isProvidedByIs Provided by(1)

isSubmoduleOfIs Submodule of(1)

mentionsVisualizationToolsMentions Visualization Tools(1)

recommendedPythonVizLibraryRecommended Python Viz Library(1)

recommendedRVizLibraryRecommended R Viz Library(1)

recommendedToolRecommended Tool(1)

suggestsLibrarySuggests Library(1)

toolsTools(1)

usesLibrariesUses Libraries(1)

Other facts (22)

Timeline

References (10)

See also

Keep researching

Rdf:typein dispute`rdf:type`

`usesLibrary`Uses Library(5)

`includes`Includes(2)

`contrastsWith`Contrasts With(1)

`covers`Covers(1)

`coversLibraries`Covers Libraries(1)

`dependsOn`Depends on(1)

`examples`Examples(1)

`hasDependency`Has Dependency(1)

`imports`Imports(1)

`isPartOf`Is Part of(1)

`isProvidedBy`Is Provided by(1)

`isSubmoduleOf`Is Submodule of(1)

`mentionsVisualizationTools`Mentions Visualization Tools(1)

`recommendedPythonVizLibrary`Recommended Python Viz Library(1)

`recommendedRVizLibrary`Recommended R Viz Library(1)

`recommendedTool`Recommended Tool(1)

`suggestsLibrary`Suggests Library(1)

`tools`Tools(1)

`usesLibraries`Uses Libraries(1)