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Create clear charts faster with AI-era data visualization specs and workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "anyviz" yet — see the docs or source repo.
Using anyviz principles, create a visualization specification for a quarterly sales dashboard, including chart type selection, color palette, labels, sorting, units, and outlier handling recommendations.
A structured visualization spec describing suitable charts and design rules for each metric.
I have a weekly user retention reporting chart plan. Review its readability and information hierarchy with the anyviz workflow, identify issues, and suggest improved charts.
A chart review with issue list, improvement rationale, and alternative visualization recommendations.
Turn the following analysis goal into a detailed AI chart-generation prompt following anyviz guidelines: compare revenue trends across 5 regions over the past 12 months while highlighting year-over-year changes and unusual fluctuations.
A high-quality prompt for AI charting tools with chart structure, key insights, and visual constraints.
Turn query results or DataFrames into publication-quality charts with Python.
Create clear, professional Python data visualizations and choose suitable chart types.
Turn strategic ideas into polished SVG SWOTs, flowcharts, mind maps, and Gantt charts.
Generate enterprise architecture diagrams in Visio from prompts or inventory data.
Build self-hosted visual AI workflows with agents, RAG, HITL, and observability.
Control Navisworks with natural language for analysis, extraction, and visual management.