Vizro

Name: Vizro
Author: mckinsey

Official

Creates interactive data visualization dashboards through natural language by generating chart code and validating Vizro configurations. Provides PyCafe preview links for immediate visualization testing.

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What it does

Generate chart code from natural language descriptions
Validate dashboard configurations and chart code
Load and analyze CSV/JSON data files
Create interactive Vizro visualizations
Generate PyCafe preview links for dashboards
Access sample datasets for testing

Best for

Data analysts building interactive dashboardsTeams prototyping visualizations quicklyUsers wanting code-free chart creationDashboard validation and testing workflows

Natural language to chart generationPyCafe preview integrationBuilt-in configuration validation

Tools (6)

get_vizro_chart_or_dashboard_plan

Get instructions for creating a Vizro chart or dashboard. Call FIRST when asked to create Vizro things. Must be ALWAYS called FIRST with advanced_mode=False, then call again with advanced_mode=True if the JSON config does not suffice anymore. Returns: Instructions for creating a Vizro chart or dashboard

get_model_json_schema

Get the JSON schema for the specified Vizro model. Server Vizro version: 0.1.50

get_sample_data_info

If user provides no data, use this tool to get sample data information. Use the following data for the below purposes: - iris: mostly numerical with one categorical column, good for scatter, histogram, boxplot, etc. - tips: contains mix of numerical and categorical columns, good for bar, pie, etc. - stocks: stock prices, good for line, scatter, generally things that change over time - gapminder: demographic data, good for line, scatter, generally things with maps or many categories Returns: Data info object containing information about the dataset.

load_and_analyze_data

Use to understand local or remote data files. Must be called with absolute paths or URLs. Supported formats: - CSV (.csv) - JSON (.json) - HTML (.html, .htm) - Excel (.xls, .xlsx) - OpenDocument Spreadsheet (.ods) - Parquet (.parquet) Returns: DataAnalysisResults object containing DataFrame information and metadata

validate_dashboard_config

Validate Vizro model configuration. Run ALWAYS when you have a complete dashboard configuration. If successful, the tool will return the python code and, if it is a remote file, the py.cafe link to the chart. The PyCafe link will be automatically opened in your default browser if auto_open is True. Returns: ValidationResults object with status and dashboard details