Visualization

An index and topic collection covering data visualization, charts, dashboards, business intelligence (BI), and reporting APIs. Data visualization platforms turn raw data into charts, graphs, and interactive dashboards that drive insight, decision-making, and storytelling. This collection includes enterprise BI platforms like Tableau, Microsoft Power BI, Looker, Qlik Sense, Sisense, and Domo; modern cloud BI and embedded analytics like Looker Studio, Amazon QuickSight, and Metabase; open-source dashboarding and viz like Apache Superset, Grafana, Kibana, Perses, SigNoz, and OpenObserve; charting libraries and frameworks like Matplotlib, Streamlit, Apache Zeppelin; product analytics and observability dashboards like Mixpanel, PostHog, Amplitude, Datadog, Adobe Analytics, and Keen; and architecture and diagramming tools like Lucidchart, alongside the API Evangelist's own subway-map style visualizations.

Visualization is profiled on the APIs.io network. Tagged areas include Data Visualization, Charts, Dashboards, Business Intelligence, and Reporting.

The Visualization catalog on APIs.io includes 1 JSON-LD context.

Visualization’s developer surface includes developer portal and 1 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

9.6/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-10-23 · rubric v0.25.0 · Show this score on your site →

0 APIs 7 Features 7 Use Cases

Data Visualization Charts Dashboards Business Intelligence Reporting AnalyticsSubway Map

Kin Score

Kin Score How this is scored →
scored 2026-10-23 · rubric v0.25.0

Composite quality — 9.6/100 · minimal

Contract Quality 3.1 / 21

Developer Ergonomics 1.6 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.6 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 0.7 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/visualization: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Features 7

Notable capabilities this provider offers.

Chart and Graph Rendering

Visualization APIs accept data and configuration and return rendered charts, graphs, or images, including bar, line, pie, scatter, heatmap, and geospatial chart types.

Interactive Dashboards

Dashboard platforms expose APIs to define, embed, and refresh interactive dashboards composed of multiple charts, KPIs, filters, and drill-downs against live data sources.

Data Source Connectivity

BI and visualization platforms connect to databases, warehouses, files, and APIs as data sources, exposing APIs to manage connections, queries, datasets, and refresh schedules.

Embedded Analytics

Visualization vendors provide embedded analytics SDKs and APIs that let product teams ship dashboards and reports inside their own applications, white-labeled and authenticated.

Query and Semantic Layer

Modern BI exposes a semantic and metrics layer through APIs so charts, dashboards, and AI agents share consistent definitions of dimensions, measures, and joins.

Report Generation and Scheduling

Reporting APIs render PDFs, images, and snapshots of dashboards and reports, schedule deliveries, and distribute them through email, Slack, and webhooks.

Architecture and Diagram Visualization

Diagramming and graph tools like Lucidchart, Graphviz, Mermaid, and Cytoscape expose APIs to render service maps, dependency graphs, and API subway-map style visuals.

Scroll for all 7

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Visualization Context

7 classes · 16 properties

JSON-LD

JSON Schema 2

Standalone JSON Schema definitions for this provider's data models.

ChartSpec

7 properties

JSON SCHEMA

Dashboard

10 properties

JSON SCHEMA

JSON Structure 2

JSON Structure definitions describing this provider's data shapes.

Visualization Chart Spec Structure

7 properties

JSON STRUCTURE

Visualization Dashboard Structure

10 properties

JSON STRUCTURE

Examples 2

Example request and response payloads for these APIs.

Visualization Chart Spec Example

7 fields

EXAMPLE

Visualization Dashboard Example

10 fields

EXAMPLE

Use Cases 7

What developers build with this provider.

Executive Dashboards and KPI Reporting

Companies build executive dashboards in Tableau, Power BI, Looker, or Domo that surface revenue, pipeline, retention, and operations KPIs against live warehouse data.

Embedded Customer-Facing Analytics

SaaS products embed Sisense, Looker, Metabase, or Knowi dashboards inside their apps so customers can analyze their own data without leaving the product.

Operational and Observability Dashboards

Engineering teams visualize metrics, logs, and traces in Grafana, Kibana, Perses, SigNoz, and OpenObserve to monitor systems, alert on incidents, and investigate outages.

Product Analytics and Behavior Visualization

Product teams use Mixpanel, Amplitude, PostHog, and Adobe Analytics dashboards to visualize funnels, retention, cohorts, and feature usage across web and mobile.

Data Science Notebooks and Charting

Data scientists generate charts and exploratory visualizations in Matplotlib, Streamlit, and Apache Zeppelin notebooks, then publish dashboards or reports for stakeholders.

API and Architecture Visualization

Platform teams render API surface, service dependency, and architecture diagrams using Lucidchart, Graphviz, Mermaid, and API Evangelist style subway-map visuals.

Financial and Web3 Analytics Dashboards

Analysts publish dashboards in Dune Analytics, Domo, and Power BI for on-chain crypto activity, financial reporting, and operational performance across business units.

Scroll for all 7

Integrations 8

Pre-built integrations with other platforms and tools.

Tableau

Enterprise BI platform with rich interactive dashboards, embedded analytics, and a REST API for content, data sources, jobs, and user management.

Microsoft Power BI

Microsoft's enterprise BI service with desktop, cloud, and embedded experiences, plus a REST API for datasets, reports, dashboards, and workspaces.

Google Looker

Modeled BI platform with a semantic LookML layer, dashboards, and a REST API for managing queries, dashboards, and embedded analytics.

Grafana

Open-source dashboard platform for time-series, metrics, logs, and traces with a HTTP API for dashboards, datasources, alerts, and organizations.

Apache Superset

Open-source data exploration and dashboarding platform with a REST API for charts, dashboards, datasets, and SQL Lab queries.

Metabase

Open-source BI tool focused on simple question-driven analytics with an API for questions, dashboards, collections, and embedding.

Sisense

Embedded analytics and BI platform with APIs for dashboards, widgets, data models, and white-labeled embeddable analytics.

Domo

Cloud BI platform with APIs for datasets, cards, pages, users, and a strong focus on executive dashboards and storytelling.

Scroll for all 8

Resources

Get Started 1

Portal, sign-up, and the first successful call

Portal

Portal

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Source (apis.yml)

aid: visualization
name: Visualization
description: An index and topic collection covering data visualization, charts, dashboards, business intelligence (BI), and
  reporting APIs. Data visualization platforms turn raw data into charts, graphs, and interactive dashboards that drive insight,
  decision-making, and storytelling. This collection includes enterprise BI platforms like Tableau, Microsoft Power BI, Looker,
  Qlik Sense, Sisense, and Domo; modern cloud BI and embedded analytics like Looker Studio, Amazon QuickSight, and Metabase;
  open-source dashboarding and viz like Apache Superset, Grafana, Kibana, Perses, SigNoz, and OpenObserve; charting libraries
  and frameworks like Matplotlib, Streamlit, Apache Zeppelin; product analytics and observability dashboards like Mixpanel,
  PostHog, Amplitude, Datadog, Adobe Analytics, and Keen; and architecture and diagramming tools like Lucidchart, alongside
  the API Evangelist's own subway-map style visualizations.
type: Index
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
tags:
- Data Visualization
- Charts
- Dashboards
- Business Intelligence
- Reporting
- Analytics
- Subway Map
tags_raw:
- Data Visualization
- Charts
- Dashboards
- BI
- Business Intelligence
- Reporting
- Analytics
- Subway Map
url: https://raw.githubusercontent.com/api-evangelist/visualization/refs/heads/main/apis.yml
created: '2026-05-19'
modified: '2026-05-19'
specificationVersion: '0.19'
apis: []
network:
- name: Adobe Analytics
  url: https://raw.githubusercontent.com/api-evangelist/adobe-analytics/refs/heads/main/apis.yml
- name: Amazon Managed Grafana
  url: https://raw.githubusercontent.com/api-evangelist/amazon-managed-grafana/refs/heads/main/apis.yml
- name: Amazon QuickSight
  url: https://raw.githubusercontent.com/api-evangelist/amazon-quicksight/refs/heads/main/apis.yml
- name: Amplitude
  url: https://raw.githubusercontent.com/api-evangelist/amplitude/refs/heads/main/apis.yml
- name: Apache Superset
  url: https://raw.githubusercontent.com/api-evangelist/apache-superset/refs/heads/main/apis.yml
- name: Apache Zeppelin
  url: https://raw.githubusercontent.com/api-evangelist/apache-zeppelin/refs/heads/main/apis.yml
- name: Crystal Reports
  url: https://raw.githubusercontent.com/api-evangelist/crystal-reports/refs/heads/main/apis.yml
- name: Datadog
  url: https://raw.githubusercontent.com/api-evangelist/datadog/refs/heads/main/apis.yml
- name: Domo
  url: https://raw.githubusercontent.com/api-evangelist/domo/refs/heads/main/apis.yml
- name: Dune Analytics
  url: https://raw.githubusercontent.com/api-evangelist/dune-analytics/refs/heads/main/apis.yml
- name: Geckoboard
  url: https://raw.githubusercontent.com/api-evangelist/geckoboard/refs/heads/main/apis.yml
- name: Google Data Studio
  url: https://raw.githubusercontent.com/api-evangelist/google-data-studio/refs/heads/main/apis.yml
- name: Google Looker
  url: https://raw.githubusercontent.com/api-evangelist/google-looker/refs/heads/main/apis.yml
- name: Google Looker Studio
  url: https://raw.githubusercontent.com/api-evangelist/google-looker-studio/refs/heads/main/apis.yml
- name: Grafana
  url: https://raw.githubusercontent.com/api-evangelist/grafana/refs/heads/main/apis.yml
- name: Keen
  url: https://raw.githubusercontent.com/api-evangelist/keen/refs/heads/main/apis.yml
- name: Kibana
  url: https://raw.githubusercontent.com/api-evangelist/kibana/refs/heads/main/apis.yml
- name: Knowi
  url: https://raw.githubusercontent.com/api-evangelist/knowi/refs/heads/main/apis.yml
- name: Lucidchart
  url: https://raw.githubusercontent.com/api-evangelist/lucidchart/refs/heads/main/apis.yml
- name: Matplotlib
  url: https://raw.githubusercontent.com/api-evangelist/matplotlib/refs/heads/main/apis.yml
- name: Metabase
  url: https://raw.githubusercontent.com/api-evangelist/metabase/refs/heads/main/apis.yml
- name: Microsoft Power BI
  url: https://raw.githubusercontent.com/api-evangelist/microsoft-power-bi/refs/heads/main/apis.yml
- name: Mixpanel
  url: https://raw.githubusercontent.com/api-evangelist/mixpanel/refs/heads/main/apis.yml
- name: OpenObserve
  url: https://raw.githubusercontent.com/api-evangelist/openobserve/refs/heads/main/apis.yml
- name: Perses
  url: https://raw.githubusercontent.com/api-evangelist/perses/refs/heads/main/apis.yml
- name: PostHog
  url: https://raw.githubusercontent.com/api-evangelist/posthog/refs/heads/main/apis.yml
- name: Qlik Sense
  url: https://raw.githubusercontent.com/api-evangelist/qlik-sense/refs/heads/main/apis.yml
- name: Qlikview
  url: https://raw.githubusercontent.com/api-evangelist/qlikview/refs/heads/main/apis.yml
- name: Retool
  url: https://raw.githubusercontent.com/api-evangelist/retool/refs/heads/main/apis.yml
- name: SAP BI
  url: https://raw.githubusercontent.com/api-evangelist/sap-bi/refs/heads/main/apis.yml
- name: SigNoz
  url: https://raw.githubusercontent.com/api-evangelist/signoz/refs/heads/main/apis.yml
- name: Sisense
  url: https://raw.githubusercontent.com/api-evangelist/sisense/refs/heads/main/apis.yml
- name: Streamlit
  url: https://raw.githubusercontent.com/api-evangelist/streamlit/refs/heads/main/apis.yml
- name: Tableau
  url: https://raw.githubusercontent.com/api-evangelist/tableau/refs/heads/main/apis.yml
common:
- type: Portal
  url: https://apievangelist.com
- type: GitHubOrganization
  url: https://github.com/api-evangelist
- type: Features
  data:
  - name: Chart and Graph Rendering
    description: Visualization APIs accept data and configuration and return rendered charts, graphs, or images, including
      bar, line, pie, scatter, heatmap, and geospatial chart types.
  - name: Interactive Dashboards
    description: Dashboard platforms expose APIs to define, embed, and refresh interactive dashboards composed of multiple
      charts, KPIs, filters, and drill-downs against live data sources.
  - name: Data Source Connectivity
    description: BI and visualization platforms connect to databases, warehouses, files, and APIs as data sources, exposing
      APIs to manage connections, queries, datasets, and refresh schedules.
  - name: Embedded Analytics
    description: Visualization vendors provide embedded analytics SDKs and APIs that let product teams ship dashboards and
      reports inside their own applications, white-labeled and authenticated.
  - name: Query and Semantic Layer
    description: Modern BI exposes a semantic and metrics layer through APIs so charts, dashboards, and AI agents share consistent
      definitions of dimensions, measures, and joins.
  - name: Report Generation and Scheduling
    description: Reporting APIs render PDFs, images, and snapshots of dashboards and reports, schedule deliveries, and distribute
      them through email, Slack, and webhooks.
  - name: Architecture and Diagram Visualization
    description: Diagramming and graph tools like Lucidchart, Graphviz, Mermaid, and Cytoscape expose APIs to render service
      maps, dependency graphs, and API subway-map style visuals.
- type: UseCases
  data:
  - name: Executive Dashboards and KPI Reporting
    description: Companies build executive dashboards in Tableau, Power BI, Looker, or Domo that surface revenue, pipeline,
      retention, and operations KPIs against live warehouse data.
  - name: Embedded Customer-Facing Analytics
    description: SaaS products embed Sisense, Looker, Metabase, or Knowi dashboards inside their apps so customers can analyze
      their own data without leaving the product.
  - name: Operational and Observability Dashboards
    description: Engineering teams visualize metrics, logs, and traces in Grafana, Kibana, Perses, SigNoz, and OpenObserve
      to monitor systems, alert on incidents, and investigate outages.
  - name: Product Analytics and Behavior Visualization
    description: Product teams use Mixpanel, Amplitude, PostHog, and Adobe Analytics dashboards to visualize funnels, retention,
      cohorts, and feature usage across web and mobile.
  - name: Data Science Notebooks and Charting
    description: Data scientists generate charts and exploratory visualizations in Matplotlib, Streamlit, and Apache Zeppelin
      notebooks, then publish dashboards or reports for stakeholders.
  - name: API and Architecture Visualization
    description: Platform teams render API surface, service dependency, and architecture diagrams using Lucidchart, Graphviz,
      Mermaid, and API Evangelist style subway-map visuals.
  - name: Financial and Web3 Analytics Dashboards
    description: Analysts publish dashboards in Dune Analytics, Domo, and Power BI for on-chain crypto activity, financial
      reporting, and operational performance across business units.
- type: Integrations
  data:
  - name: Tableau
    description: Enterprise BI platform with rich interactive dashboards, embedded analytics, and a REST API for content,
      data sources, jobs, and user management.
  - name: Microsoft Power BI
    description: Microsoft's enterprise BI service with desktop, cloud, and embedded experiences, plus a REST API for datasets,
      reports, dashboards, and workspaces.
  - name: Google Looker
    description: Modeled BI platform with a semantic LookML layer, dashboards, and a REST API for managing queries, dashboards,
      and embedded analytics.
  - name: Grafana
    description: Open-source dashboard platform for time-series, metrics, logs, and traces with a HTTP API for dashboards,
      datasources, alerts, and organizations.
  - name: Apache Superset
    description: Open-source data exploration and dashboarding platform with a REST API for charts, dashboards, datasets,
      and SQL Lab queries.
  - name: Metabase
    description: Open-source BI tool focused on simple question-driven analytics with an API for questions, dashboards, collections,
      and embedding.
  - name: Sisense
    description: Embedded analytics and BI platform with APIs for dashboards, widgets, data models, and white-labeled embeddable
      analytics.
  - name: Domo
    description: Cloud BI platform with APIs for datasets, cards, pages, users, and a strong focus on executive dashboards
      and storytelling.
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
humanURL: https://apievangelist.com

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