Altair Python visualization library: declarative syntax, Vega-Lite based, interactive by default. Simple, reproducible charts.

Bokeh Python visualization: interactive web charts, streaming data, server-side processing. Best for real-time dashboards.

Chart.js JavaScript library review: simple, flexible, responsive charts. Canvas-based with animations. Best for standard web charts.

D3.js data visualization library review: features, learning curve, when to use it. Most powerful JavaScript visualization library.

Plotly Dash: build analytical web apps in Python. More powerful than Streamlit, production-ready dashboards.

Datapine data visualization tool review: features, pricing, when to use it. Business intelligence platform with predictive analytics and SQL editor.

Domo data visualization tool review: features, pricing, when to use it. Cloud-native BI platform with 1000+ data connectors and social collaboration.

Apache ECharts JavaScript visualization: powerful, feature-rich, beautiful animations. Free open-source charting library.

Geckoboard data visualization tool review: features, pricing, when to use it. Simple KPI dashboards for TV displays with beautiful design and easy setup.

ggplot2 R visualization library review: grammar of graphics, layered approach, publication-quality plots. Best for R users.

Grafana monitoring dashboards: metrics, logs, traces visualization. Best for DevOps and infrastructure monitoring.

Highcharts JavaScript charting library: commercial, reliable, excellent docs. Enterprise-ready interactive charts.

Klipfolio data visualization tool review: features, pricing, when to use it. Cloud dashboard platform for marketing and SaaS metrics with real-time updates.

Looker Studio (formerly Google Data Studio) review: Free cloud BI tool for interactive dashboards. Connect to Google services and 800+ data sources.

Looker BI platform review: LookML, version control for analytics, Google Cloud integration. Code-first business intelligence.

Matplotlib Python library review: publication-quality graphics, complete control, scientific visualization. Foundation of Python plotting.

Metabase open-source BI: simple, fast, no-code dashboards. Self-hosted business intelligence for everyone.

MicroStrategy data visualization tool review: features, pricing, when to use it. Enterprise BI platform with mobile-first design and HyperIntelligence.

Mode Analytics data visualization tool review: features, pricing, when to use it. Collaborative analytics platform combining SQL, Python, and visual reporting.

Periscope Data / Sisense for Cloud review: features, pricing, when to use it. SQL-first analytics platform for data teams with Python and R support.

Plotly Python library review: interactive charts, web deployment, Dash framework. Best for shareable visualizations.

Power BI data visualization tool review: features, pricing, Microsoft integration. Business intelligence platform for Office users.

Qlik Sense data visualization tool review: features, pricing, when to use it. Associative analytics engine with AI-powered insights.

Redash SQL-based analytics: query editor, visualizations, dashboards. Simple open-source data exploration.

Seaborn Python library review: statistical visualization, beautiful defaults, simple syntax. Built on Matplotlib.

Sisense data visualization tool review: features, pricing, when to use it. Embedded analytics platform with powerful data modeling and AI capabilities.

Streamlit Python web apps: turn scripts into shareable apps. No web dev knowledge needed. Perfect for data science demos.

Apache Superset open-source BI: enterprise features, SQL IDE, no-code builder. Modern data exploration platform.

Tableau data visualization tool review: features, pricing, when to use it. Industry-standard BI platform for dashboards and analytics.

ThoughtSpot data visualization tool review: features, pricing, when to use it. Search-driven analytics with natural language queries and AI insights.