Kanaries

Kanaries is an AI-powered workspace for exploratory data analysis and visualization, built by Kanaries Data, Inc. Its core products let users go from raw data to interactive charts without writing visualization code: PyGWalker turns a Python DataFrame into a drag-and-drop visual analytics app with a single line of code, and GWalkR does the same for R and RStudio users. A VizChat feature lets people ask questions about their data in natural language and get back insights and visualizations directly, while Runcell acts as an AI code agent inside Jupyter notebooks that can understand existing code and cells, generate new code, and execute it on request. For users who want a standalone tool, Graphic Walker Desktop is a native app for macOS and Windows, and a web-embeddable Graphic Walker component lets developers add the same drag-and-drop interface to their own React, Vue, or Angular applications. RATH, the platform's automated analysis engine, scans data for patterns, causal relationships, and insights and generates multi-dimensional visualizations on its own. Kanaries targets data analysts, scientists, and teams across business intelligence, research, finance, and healthcare who want to explore data interactively without deep programming skills. Because much of its value comes from its Python and R library integrations, teams without any coding workflow at all may get less out of it than the embeddable desktop and web tools alone provide.