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Plotly

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

Plotly has 16 facts recorded in Dontopedia across 4 references, with 2 live disagreements.

16 facts·12 predicates·4 sources·2 in dispute

Mostly:rdf:type(4), purpose(2), license model(1)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Purposein disputepurpose

License ModellicenseModel

  • open-source[2]sourceall time · B34d8a9b 6767 44f4 9b5e Fede60abe21a

Deploymentdeployment

  • web-platform[2]sourceall time · B34d8a9b 6767 44f4 9b5e Fede60abe21a

Supportssupports

  • wide-range-of-chart-types[2]sourceall time · B34d8a9b 6767 44f4 9b5e Fede60abe21a

Has InterfacehasInterface

  • user-friendly[2]sourceall time · B34d8a9b 6767 44f4 9b5e Fede60abe21a

Used forusedFor

  • creating-interactive-web-based-visualizations[2]sourceall time · B34d8a9b 6767 44f4 9b5e Fede60abe21a

Has Documentation UrlhasDocumentationURL

  • [3]sourceall time · 1e6b5b83 509a 4362 92ea 7da223a32b0c

Rdfs:labelrdfs:label

  • Plotly[1]sourceall time · 641cc3ea D529 4e78 9647 De8d716ec802

Documentation UrldocumentationUrl

  • [1]sourceall time · 641cc3ea D529 4e78 9647 De8d716ec802

Capabilitycapability

  • interactive-web-visualizations[1]sourceall time · 641cc3ea D529 4e78 9647 De8d716ec802

Offersoffers

  • interactivity out-of-the-box[4]sourceall time · B5b9d4b4 F681 44eb Aa46 243df5db0e24

Inbound mentions (6)

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.

includesIncludes(1)

includesLibraryIncludes Library(1)

recommendedRecommended(1)

toolsTools(1)

usesLibraryUses Library(1)

usesToolUses Tool(1)

Timeline

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.

16 undated
—
capabilitylme/641cc3ea-d529-4e78-9647-de8d716ec802
interactive-web-visualizations
—
deploymentlme/b34d8a9b-6767-44f4-9b5e-fede60abe21a
web-platform
—
documentationUrllme/641cc3ea-d529-4e78-9647-de8d716ec802
https://plotly.com/python/getting-started/
—
hasDocumentationURLlme/1e6b5b83-509a-4362-92ea-7da223a32b0c
https://plotly.com/python/getting-started/
—
hasInterfacelme/b34d8a9b-6767-44f4-9b5e-fede60abe21a
user-friendly
—
licenseModellme/b34d8a9b-6767-44f4-9b5e-fede60abe21a
open-source
—
offersbeam/b5b9d4b4-f681-44eb-aa46-243df5db0e24
interactivity out-of-the-box
—
purposelme/641cc3ea-d529-4e78-9647-de8d716ec802
ex:interactive-web-based-visualizations
—
purposelme/1e6b5b83-509a-4362-92ea-7da223a32b0c
creating interactive, web-based visualizations
—
labellme/641cc3ea-d529-4e78-9647-de8d716ec802
Plotly
—
typelme/b34d8a9b-6767-44f4-9b5e-fede60abe21a
ex:OpenSourcePlatform
—
typelme/641cc3ea-d529-4e78-9647-de8d716ec802
ex:Python_Library
—
typelme/1e6b5b83-509a-4362-92ea-7da223a32b0c
ex:Python_Library
—
typelme/641cc3ea-d529-4e78-9647-de8d716ec802
ex:PythonLibrary
—
supportslme/b34d8a9b-6767-44f4-9b5e-fede60abe21a
wide-range-of-chart-types
—
usedForlme/b34d8a9b-6767-44f4-9b5e-fede60abe21a
creating-interactive-web-based-visualizations

References (4)

4 references
  1. [1]beam-chunk6 facts
    customctx:claims/lme/641cc3ea-d529-4e78-9647-de8d716ec802
    • full textbeam-chunk
      text/plain17 KBdoc:beam/641cc3ea-d529-4e78-9647-de8d716ec802
      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…
  2. [2]beam-chunk6 facts
    customctx: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…
  3. [3]beam-chunk3 facts
    customctx:claims/lme/1e6b5b83-509a-4362-92ea-7da223a32b0c
    • full textbeam-chunk
      text/plain17 KBdoc:beam/1e6b5b83-509a-4362-92ea-7da223a32b0c
      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…
  4. [4]beam-chunk1 fact
    customctx:claims/beam/b5b9d4b4-f681-44eb-aa46-243df5db0e24
    • full textbeam-chunk
      text/plain1 KBdoc:beam/b5b9d4b4-f681-44eb-aa46-243df5db0e24
      Show excerpt
      [Turn 7863] Assistant: Creating interactive dashboards in Python can be achieved using libraries like Matplotlib, Seaborn, and Plotly. While Matplotlib and Seaborn are great for static visualizations, Plotly offers interactivity out-of-the-…

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