
Panel
A Python framework for building interactive data exploration tools and web applications.

Transform raw data into interactive, presentation-ready charts with AI-driven insights.

Graphy is a next-generation data visualization platform engineered to bridge the gap between complex data analysis and high-stakes communication. In the 2026 market, it stands as a leader in 'Generative BI,' where the platform utilizes Large Language Models (LLMs) to interpret natural language queries and automatically map them to optimal visual schemas using D3.js and WebGL rendering. Unlike traditional BI tools that require deep SQL knowledge, Graphy’s architecture focuses on the 'Analyst-in-the-Loop' model, allowing users to connect disparate data sources—ranging from Google Sheets and Airtable to live SQL warehouses—and generate insights via a conversational interface. Its technical stack includes a proprietary 'Theme Engine' for SVG-level customization and a real-time synchronization layer that ensures dashboards reflect live data without manual refreshes. Graphy is strategically positioned for growth-stage startups and marketing agencies who require the aesthetic polish of professional design tools combined with the analytical rigor of enterprise-grade data platforms.
Graphy is a next-generation data visualization platform engineered to bridge the gap between complex data analysis and high-stakes communication.
Explore all tools that specialize in create interactive dashboards. This domain focus ensures Graphy delivers optimized results for this specific requirement.
Explore all tools that specialize in automated data summarization. This domain focus ensures Graphy delivers optimized results for this specific requirement.
LLM-driven narrative generation that identifies trends, outliers, and correlations within the dataset and summarizes them in natural language.
Dynamic iframe integration that maintains a live websocket connection to the source data.
Algorithmic color palette generation that extracts branding from a user-provided URL and applies it across all chart components.
Automated detection of data types (Geo, Date, Currency) to suggest the most mathematically sound visualization format.
Allows users to join data from a CSV and a SQL database into a single unified visualization within the app.
Client-side filtering that allows viewers of the shared link to toggle data series without modifying the underlying source.
Uses regression models to project future data points based on historical trends within the chart interface.
Create a secure account via OAuth or Email.
Connect your first data source (e.g., CSV upload or Google Sheets auth).
Access the AI 'Graphy Assistant' to describe your data goals.
Select specific columns or rows for analysis using the data picker.
Choose from AI-suggested chart types based on data distribution.
Use the 'Refine' panel to adjust axis, colors, and typography.
Add AI-generated annotations to highlight key data anomalies.
Organize multiple charts into a collaborative Workspace.
Configure automated data refresh intervals (1-hour to 24-hour cycles).
Export to presentation slides or embed directly into Notion or Slack.
All Set
Ready to go
Verified feedback from other users.
"Users praise the platform for its aesthetic output and ease of use compared to Tableau/PowerBI, though some power users request more complex SQL joins."
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A Python framework for building interactive data exploration tools and web applications.

Build apps without code.

Modern, open-source data exploration and visualization at petabyte scale.

Agentic analytics solution providing instant answers, powerful dashboards, and proactive insights through a Knowledge Graph.

AI-powered analytics platform that helps teams model, visualize, and embed data experiences.

The fastest way to build and share data apps.